Template-Type: ReDIF-Article 1.0 Author-Name: Lucía Aylén Arena Cacciagiú Author-Name-First: Lucía Aylén Author-Name-Last: Arena Cacciagiú Author-Name: Javier Romero Author-Name-First: Javier Author-Name-Last: Romero Title: The influence of Artificial Intelligence on the online consumer information search process Abstract: containment. This paper seeks to determine the aspects and qualities that the digital consumer seeks when choosing a product or brand. This within a context of a versatile and competitive market, where companies to stand out and be present in the mind of the buyer, must know the variables that influence their decisions. Together with e-commerce, technology increases day by day and is part of our lives even without being present. Artificial intelligence is a clear example of this, generating solutions for entrepreneurs and consumers, who are looking for quick, simple and safe answers. Words like Artificial Intelligence, Big Data, chatbot, cookies and privacy or manipulation issues seem to go hand in hand. This production showed the differences, points for and against the coding of data through these tools, when offering a product or service on the internet. Through a type of exploratory and descriptive research, from the perspective of the entrepreneur and the consumer, you will know the generational gap that separates the acceptance of the insecurity generated by the use of Artificial Intelligence. You will discover the relevant aspects for the sale that you must know about your client. In parallel, as a buyer, it will give you an answer to your big questions about the famous manipulation of entrepreneurs. Journal: EthAIca Pages: 15 Volume: 1 Issue: Year: 2022 Subtitle : DOI: 10.56294/ai202215 Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:15:id:15 Template-Type: ReDIF-Article 1.0 Author-Name: Jesica Tirado Author-Name-First: Jesica Author-Name-Last: Tirado Title: Big data and artificial intelligence for innovation in management in the agricultural industry in Extremadura Abstract: Technology behaves in a disruptive way. As the word implies, it abruptly breaks the way in which people's lives unfold, mainly the organizational. Provides unique opportunities, where we can achieve dreams that were only scenes of science fiction movies, but that Today strongly impact in the world of organizations. This can be seen with autonomous vehicles, which transform the way in which transport companies formulate their business models; the holographic communication which provides the possibility of gathering directors of companies in a fraction of a second and decision making; and big data, which implies the reformulation of commercial strategies in relation to real information about consumers offered by bigdata; among others. In order to take advantage of these advances, it is necessary to pay attention to the changes and adapt correctly. The present investigation has the objective to know if agricultural companies in Extremadura, Spain are aware of the need for organizational adaptation to develop successfully in this 4th industrial revolution, mainly by incorporating big data technology. Response that will be sought through a documentary and descriptive investigation about this reality in the companies selected intentionally. Journal: EthAIca Pages: 38 Volume: 1 Issue: Year: 2022 Subtitle : DOI: 10.56294/ai202238 Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:38:id:38 Template-Type: ReDIF-Article 1.0 Author-Name: Ana María Chaves Cano Author-Name-First: Ana María Author-Name-Last: Chaves Cano Title: Medical Ethics in Terminal Patients: Dilemmas in the Use of AI for End-of-Life Decisions Abstract: Medical ethics in terminal patients faces unprecedented challenges with the integration of artificial intelligence (AI) in end-of-life decision-making. This article aims to analyze the ethical dilemmas arising from the use of AI in this context by exploring its implications for autonomy, dignity, and the humanization of palliative care. To this end, a literature review was conducted of articles in Spanish and English indexed in Scopus between 2018 and 2022, selecting studies that addressed the intersection of AI, bioethics, and palliative medicine. The results were organized into four thematic axes: patient autonomy and informed consent, algorithmic biases and equity in recommendations, dehumanization versus optimization of care, and legal and moral responsibility in automated decisions. It was identified that, although AI can improve the accuracy of forecasts and treatments, its implementation requires ethical safeguards to prevent the reduction of the doctor-patient relationship to a technical process. The conclusions highlight the need for regulatory frameworks that balance technological innovation with bioethical principles, prioritizing human dignity and the active participation of patients and families in end-of-life decisions. Journal: EthAIca Pages: 22 Volume: 1 Issue: Year: 2022 Subtitle : DOI: 10.56294/ai202222 Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:22:id:22 Template-Type: ReDIF-Article 1.0 Author-Name: Ariadna Matos Matos Author-Name-First: Ariadna Author-Name-Last: Matos Matos Title: Algorithmic biases in mental health diagnoses and their impact on vulnerable populations: a documentary review of advances and challenges Abstract: Algorithmic biases in mental health diagnostic systems represent a critical challenge, particularly for vulnerable populations, as they perpetuate inequities in access to and quality of care. This article aims to analyze advances and challenges in identifying and mitigating these biases through a documentary review of Spanish and English articles indexed in Scopus between 2018 and 2022. The methodology involved a systematic analysis of 50 selected studies, classified into four thematic areas: types of algorithmic biases, clinical impact on vulnerable populations, technical limitations in algorithm development, and proposed mitigation strategies. The results demonstrate that biases are deeply rooted in training data and the unequal representation of marginalized groups, leading to less accurate diagnoses for women, racialized communities, and low-income individuals. Although technical and ethical approaches have been proposed, gaps persist in their practical implementation. The study concludes that without multidisciplinary intervention integrating public health, ethics, and data science perspectives, algorithms will continue to reproduce structural inequalities. This research underscores the urgency of inclusive policies and robust regulatory frameworks to ensure equity in digital mental health. Journal: EthAIca Pages: 20 Volume: 1 Issue: Year: 2022 Subtitle : DOI: 10.56294/ai202220 Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:20:id:20 Template-Type: ReDIF-Article 1.0 Author-Name: Lucía Aylén Arena Cacciagiú Author-Name-First: Lucía Aylén Author-Name-Last: Arena Cacciagiú Author-Name: Javier Romero Author-Name-First: Javier Author-Name-Last: Romero Title: E-commerce, artificial intelligence and the pandemic: a new consumer paradigm Abstract: Introduction: Over the last few years, Argentine consumer behaviour has undergone a significant change driven by technological advances and the COVID-19 pandemic. The growth in smartphone use and high level of connectivity have positioned Argentina as one of the most digitised countries, which has directly affected consumer habits. Development: A large part of the population began to research and purchase online, increasing the volume and frequency of digital transactions. In 2020, more than one million Argentines made their first online purchase, and e-commerce sales grew by 124%. The most favoured sectors were technology, food and household goods. In addition, it was noted that 91% of Argentine consumers were influenced by pre-purchase searches. In this new ecosystem, concepts such as the ‘Zero Moment of Truth’ (ZMOT) became relevant, as users began their purchasing process with digital research. At the same time, Artificial Intelligence began to play a key role in personalising experiences, improving customer service, streamlining processes and strengthening digital marketing strategies. Conclusion: Argentine digital consumers established themselves as active, informed and demanding players. Against this backdrop, companies that adopted technologies such as AI, automation and UX were better positioned in the market. This change forced brands to rethink their business models and focus on the user experience as a strategic axis. Journal: EthAIca Pages: 23 Volume: 1 Issue: Year: 2022 Subtitle : DOI: 10.56294/ai202223 Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:23:id:23 Template-Type: ReDIF-Article 1.0 Author-Name: Jesica Tirado Author-Name-First: Jesica Author-Name-Last: Tirado Title: Agriculture in the digital age: organizational challenges for the adoption of AI and Big Data Abstract: IntroductionThe article analysed how artificial intelligence (AI) and Big Data became key tools for generating competitive advantage by transforming complex data into useful information for decision-making. It highlighted that, beyond access to technology, organisations needed to adapt their structure and strategy to truly harness its potential. The research focused on the agricultural industry in Extremadura, a region with low GDP per capita and an ageing population that has traditionally been resistant to change. Development The Fourth Industrial Revolution, characterised by the rapid expansion of disruptive technologies, profoundly changed the way companies operated. In the agricultural sector, AI and Big Data made it possible to monitor crops, automate machinery and optimise resources. However, their adoption required more than just technological tools: it involved an organisational transformation that included professional training, investment in digital infrastructure and a culture of innovation. In Extremadura, the lack of university education and a preference for traditional methods limited the effective implementation of these technologies. Conclusion It was concluded that the incorporation of AI and Big Data was essential to improve the competitiveness, efficiency, and sustainability of the agricultural sector in Extremadura. However, its success depended on a profound change in organisational mindset and institutional support through public policies, training, and incentives. The key was not only in having technology, but in knowing how to integrate it strategically to transform the business model and face future challenges. Journal: EthAIca Pages: 17 Volume: 1 Issue: Year: 2022 Subtitle : DOI: 10.56294/ai202217 Handle: RePEc:dbk:ethaic:v:1:y:2022:i::p:17:id:17 Template-Type: ReDIF-Article 1.0 Author-Name: Lucas Brunengo Author-Name-First: Lucas Author-Name-Last: Brunengo Author-Name: Patricia Barrón Author-Name-First: Patricia Author-Name-Last: Barrón Title: Big Data and Artificial Inteligence in small and medium-sized companies in the province of Córdoba Abstract: Technology behaves in disruptive ways. As the word implies, it abruptly disrupts the way people's lives unfold, mainly the life of organizations. The main objective of this research work was to know whether SMEs in the province of Córdoba, Argentina know the need and the type of adaptation of the organizational system necessary to develop competitively in this 4th. Industrial Revolution, by incorporating Big Data technology and Artificial Intelligence according to the management elements required for this adaptation. The research had a descriptive scope and was carried out through a qualitative approach with a non-experimental cross-sectional design, through semi-structured interviews. The results showed that organizations are already implementing these tools or are considering doing so in the future as they perceive that these are of great help to obtain better results. As a result of this research, we can conclude that this technology is already a reality and companies must adapt to it to survive in this increasingly competitive and competent market. Journal: EthAIca Pages: 61 Volume: 2 Issue: Year: 2023 Subtitle : DOI: 10.56294/ai202361 Handle: RePEc:dbk:ethaic:v:2:y:2023:i::p:61:id:61 Template-Type: ReDIF-Article 1.0 Author-Name: Martín Alejandro Gerlero Author-Name-First: Martín Author-Name-Last: Alejandro Gerlero Title: Gamified web application with artificial intelligence for teaching programming in Spanish-speaking contexts Abstract: Introduction: teaching programming posed a significant challenge for students with no prior training in logical or computational thinking, especially at the early stages. Traditional teaching methods proved insufficient to maintain motivation and engagement. In this context, gamification and artificial intelligence emerged as promising educational strategies by offering more dynamic and personalized experiences. However, the tools available on the market had significant limitations, such as a lack of AI-based personalization and the absence of content adapted to Spanish speakers. Development: the project developed a gamified web application aimed at teaching basic programming and database concepts. Technologies such as HTML5, CSS3, JavaScript, PHP, and the MaterializeCSS library were used for the design and implementation of the platform. The integration of the ChatGPT API allowed the incorporation of artificial intelligence functionalities to provide personalized feedback to students. The application was hosted in a reliable and widely used server environment. A review of existing solutions showed that few combined gamification and AI, and none were fully oriented towards Spanish-speaking users. Conclusions: the development of this application proved to be a viable and innovative solution to facilitate programming learning. The combination of gamification and artificial intelligence improved the educational experience, encouraged participation, and adapted content to the individual needs of users. This project offered a unique approach and laid the foundation for future research in digital education. Journal: EthAIca Pages: 55 Volume: 2 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai202355 Handle: RePEc:dbk:ethaic:v:2:y:2025:i::p:55:id:55 Template-Type: ReDIF-Article 1.0 Author-Name: Lucas Brunengo Author-Name-First: Lucas Author-Name-Last: Brunengo Author-Name: Patricia Barrón Author-Name-First: Patricia Author-Name-Last: Barrón Title: Digital transformation in SMEs: challenges and potential in the data age Abstract: The study investigated the degree of knowledge and use of Big Data and Artificial Intelligence (AI) tools in small and medium-sized enterprises (SMEs) in the province of Córdoba. It analysed how the fourth industrial revolution transformed business models through the integration of new technologies, highlighting that the speed of adoption was decisive. It was observed that many SMEs mistakenly assumed that these tools were reserved for large companies, without considering the hidden value in the data they already generated. The work identified that Big Data allowed massive information to be processed in real time, improving customer service, logistics, and personalisation of services, as was the case of companies such as Netflix, Amazon and Tesla. The analysis revealed that while 75% of SMEs considered technology incorporation important, only 32% really understood AI and 34% were aware of Big Data. The main barriers included lack of investment and the need for training of human talent.Finally, it was concluded that SMEs had to understand that the strategic use of data did not depend on the size of the company, but on their ability to connect and leverage the available information, which represented a decisive opportunity for their sustainability and competitiveness. Journal: EthAIca Pages: 56 Volume: 2 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai202356 Handle: RePEc:dbk:ethaic:v:2:y:2025:i::p:56:id:56 Template-Type: ReDIF-Article 1.0 Author-Name: Paula Betiana Arancibia Author-Name-First: Paula Author-Name-Last: Betiana Arancibia Author-Name: Sandra Del Valle Soria Author-Name-First: Sandra Author-Name-Last: Del Valle Soria Title: Artificial Intelligence and ChatGPT as Tools in Classroom Work Abstract: The following Intervention Plan refers to innovations in new technologies for education. These current digital tools, such as Artificial Intelligence, specifically ChatGPT, will be used in the Maryland Educational Unit. Teachers at the secondary level need constant training on the subject of digital strategies and resources. The institution and the teaching staff can not be oblivious to these issues. The work plan proposed, and carried out by the Bachelor in Education, is scheduled to be carried out during six meetings. It is expected to be replicated at other levels. Technological progress in the social and educational sphere is important in view of the institution's premise of achieving an integral student profile, and the intention is to demonstrate that the use of ChatGPT is a useful tool for classroom work, as well as acting as a teacher's advisor for the search for information and the creation of didactic sequences, among other topics, always appealing to critical thinking in the face of these search engines. Journal: EthAIca Pages: 58 Volume: 2 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai202358 Handle: RePEc:dbk:ethaic:v:2:y:2025:i::p:58:id:58 Template-Type: ReDIF-Article 1.0 Author-Name: Martín Alejandro Gerlero Author-Name-First: Martín Author-Name-Last: Alejandro Gerlero Title: Platform for learning programming and databases based on artificial intelligence Abstract: This final degree project proposed the development of a gamified web platform to facilitate the initial learning of programming and databases using artificial intelligence. The proposal arose from the need for new teaching tools given the difficulties presented by traditional teaching methods. The objective was to create an application that teaches basic concepts in an interactive and entertaining way. To do this, an investigation was carried out to determine the main contents to be addressed. Then theoretical contents were defined and practical exercises were designed applying gamification techniques. Subsequently, a functional prototype was developed that contains the defined theoretical contents, implements the designed practical exercises, and integrates the artificial intelligence functionality to provide unlimited examples on each topic, correction and personalized feedback on the resolution of exercises performed by the student. The results obtained so far allow validating the usefulness and technical feasibility of the proposal. Journal: EthAIca Pages: 60 Volume: 2 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai202360 Handle: RePEc:dbk:ethaic:v:2:y:2025:i::p:60:id:60 Template-Type: ReDIF-Article 1.0 Author-Name: Tulio Andres Clavijo Gallego Author-Name-First: Tulio Andres Author-Name-Last: Clavijo Gallego Title: AI and Climate Justice: Ethical Risks of Predictive Models in Environmental Policies Abstract: The increasing implementation of predictive artificial intelligence (AI) models in environmental policies poses critical challenges for climate justice, particularly concerning equity and the rights of vulnerable communities. This article analyzes the ethical risks associated with the use of AI in environmental decision-making by examining how these systems can perpetuate existing inequalities or generate new forms of exclusion. Through a systematic literature review of articles in Spanish and English indexed in Scopus between 2018 and 2022, four central thematic axes were identified: algorithmic biases and territorial discrimination, opacity in climate governance, displacement of political responsibilities, and exclusion of local knowledge in predictive models. The results reveal that, although AI can optimize the management of natural resources and mitigate climate change, its application without ethical regulation tends to favor actors with greater technological and economic power, marginalizing populations historically affected by the environmental crisis. It is concluded that it is necessary to develop governance frameworks that prioritize algorithmic transparency, community participation, and accountability to ensure that AI-based solutions do not deepen existing climate injustices. Journal: EthAIca Pages: 51 Volume: 2 Issue: Year: 2023 Subtitle : DOI: 10.56294/ai202351 Handle: RePEc:dbk:ethaic:v:2:y:2023:i::p:51:id:51 Template-Type: ReDIF-Article 1.0 Author-Name: Paula Betiana Arancibia Author-Name-First: Paula Betiana Author-Name-Last: Arancibia Author-Name: Sandra Del Valle Soria Author-Name-First: Sandra Author-Name-Last: Del Valle Soria Title: The impact of artificial intelligence on educational transformation Abstract: Introduction: Education went through a profound transformation in the last decade, changing not only its structures and actors, but also pedagogical approaches. This evolution included the incorporation of digital technologies and artificial intelligence (AI), such as ChatGPT, which forced to rethink the role of teachers, the resources used and the objectives of teaching. Development: During this process, tensions arose between those who quickly adopted these tools and those who resisted incorporating them. Authors such as Inés Dussel and Laura Marés pointed out the need to critically appropriate technology in order to form responsible digital citizens. AI, defined as a technology capable of performing tasks that require human intelligence, was presented as a resource with great potential, but also with challenges. ChatGPT stood out for its ability to generate automated text in response to queries, which particularly appealed to high school students. However, their responses could contain errors or outdated information. For this reason, teacher training was essential. Initiatives such as the INFoD sections and surveys by the Ministry of Education of the City of Buenos Aires revealed the growing interest and need for professional training in the ethical and pedagogical use of these tools. Conclusion: The integration of AI in education required a redefinition of teaching competences. ChatGPT, far from being a threat, became an opportunity to innovate pedagogical practices, provided it was used in a critical and responsible way. Journal: EthAIca Pages: 70 Volume: 2 Issue: Year: 2023 Subtitle : DOI: 10.56294/ai202370 Handle: RePEc:dbk:ethaic:v:2:y:2023:i::p:70:id:70 Template-Type: ReDIF-Article 1.0 Author-Name: Guillermo Alfredo Jiménez Pérez Author-Name-First: Guillermo Alfredo Author-Name-Last: Jiménez Pérez Title: Benefits and challenges of using AI in heritage education Abstract: Introduction: This research analyzes the application of artificial intelligence (AI) in heritage education between 2019 and 2022, focusing on its benefits and challenges. Methodology: A bibliometric methodology combining quantitative and qualitative techniques is employed, using databases such as Web of Science, Scopus, and Google Scholar. The search strategy focuses on key terms such as AI, heritage education, benefits, and challenges. The data is processed with tools such as Bibliometrix and VOSviewer to identify trends, collaborative networks, and emerging themes. Results: The study provides a structured overview of the field, highlighting research gaps and future opportunities. Conclusions: The study provides a structured overview of the field, highlighting research gaps and future opportunities. Journal: EthAIca Pages: 102 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024102 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:102:id:102 Template-Type: ReDIF-Article 1.0 Author-Name: Karina Alejandra Rissone Author-Name-First: Karina Alejandra Author-Name-Last: Rissone Author-Name: Vittar Mariana Arruabarrena Author-Name-First: Vittar Mariana Author-Name-Last: Arruabarrena Title: Artificial Intelligence, Chat GPT, and Virtual Reality in Education Abstract: This intervention plan will be implemented at the Maryland Educational Unit in Córdoba. Due to technological advances, teachers and students need to incorporate ICT into classroom learning, developing new skills that will help them stay at the forefront of their field. For this reason, we are proposing a training project on educational innovation, providing tools and strategies such as artificial intelligence, aimed at primary school teachers, for the inclusion of new technologies in classroom practices during the 2024 school year. Six meetings will be held. In the first stage, an informative meeting will be held with the management team and then with the teachers. The first meeting will present the topic of artificial intelligence and its applications in education. The second meeting will introduce Chat GPT, and the third meeting will present virtual reality. The fourth meeting will present different platforms for exploring educational virtual reality content. This will be followed by a practical class. The last meeting will present additional resources and online communities for further exploration of these technologies. The meetings will be led by the external educational advisor. The institution's resources will be used. It is hoped that, with these tools, teachers will acquire critical thinking, reflection, comparison and analysis skills for use in the school environment. These tools develop creativity and innovation, exploring multiple possibilities. The purchase of virtual reality glasses is recommended. Journal: EthAIca Pages: 118 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024118 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:118:id:118 Template-Type: ReDIF-Article 1.0 Author-Name: Antonella Petrini Author-Name-First: Antonella Author-Name-Last: Petrini Author-Name: María Belén Gauna Author-Name-First: María Belén Author-Name-Last: Gauna Title: Child Sexual Abuse Material provided by Artificial Intelligence Abstract: The present study aimed to analyze how artificial intelligence can facilitate the production and distribution of child sexual abuse material. The scope of the study was descriptive, adopting a qualitative approach, and the research design was non-experimental cross- sectional. The selected sample comprised documents, agreements, laws and books related to the subject matter; the sampling method was non-probabilistic and qualitative data collection instruments were used in the conduct of the study. The results demonstrated the development of Artificial Intelligence (AI) in the criminal sphere, as well as the lack of efficient legislation at both national and international level, even though initiatives addressing these matters have been explored in both contexts, along with an analysis of how these crimes operate. In conclusion, the paper highlighted an increase in the prevalence of crime, emphasizing the complexities of combating it without a clear and robust regulatory framework. This study also underscored the risks posed by social platforms lacking appropriate restrictions. Mutual collaboration among governments, organizations, companies and society is key to address these crimes, and the implementation of preventive strategies is fundamental to mitigate risks and safeguard minors in digital environments. The findings presented in this paper emphasize the need for a regulatory framework that addresses child sexual abuse material preventively and reactively. Journal: EthAIca Pages: 123 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024123 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:123:id:123 Template-Type: ReDIF-Article 1.0 Author-Name: Rodrigo Nahuel Pastrana Author-Name-First: Rodrigo Nahuel Author-Name-Last: Pastrana Author-Name: Teresita Jalil Author-Name-First: Teresita Author-Name-Last: Jalil Title: Innovative learning models at the Santa Ana Institute. ‘Implementation of Sendsteps.ai artificial intelligence, where he developed innovative educational practices Abstract: The following work will seek to demonstrate the importance of ICTs in the field of education and the benefits that will accrue to teachers from training in line with the needs arising in today's contexts, with reference to new Artificial Intelligence technologies. Training workshops will be developed on the implementation of ICTs through the use of innovative technological resources such as Sendsteps Artificial Intelligence. ai, aimed at teachers at the Santa Ana Institute, will be developed during the first semester of the academic year to encourage a more appropriate link between updated technologies and teachers, promoting continuous improvement and updating in teaching and learning processes, making activities more attractive and encouraging the participation of educational actors. This training will be developed using social constructivist approaches and through the implementation of innovative learning methodologies such as the flipped classroom, representing a novel resource. The aim of this training is to instruct teachers to apply AI (Artificial Intelligence) technologies in their classroom activities. Through these technologies, teachers will reap their benefits. The programme will also seek to develop interactive meetings with the institution's teachers during the training, focusing on possible curricular adaptations that could be implemented to promote collaborative and team-based workspaces. Finally, the various work instances will be evaluated using a range of tools, contributing to formative assessment and seeking to obtain the best possible results. Journal: EthAIca Pages: 115 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024115 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:115:id:115 Template-Type: ReDIF-Article 1.0 Author-Name: Gladys Ester Juárez Author-Name-First: Gladys Ester Author-Name-Last: Juárez Author-Name: Natalia Gambino Author-Name-First: Natalia Author-Name-Last: Gambino Title: Professionalization and Artificial Intelligence in Family Businesses Abstract: The central aim of this Final Degree Project was to analyze the key factors’ trend in the process towards professionalization of family businesses. Using an exploratory research method with a qualitative approach and non-experimental and transversal design, with the semi-structured personal interview technique, data were collected from four family businesses located in the Province of Tucumán. Based on entrepreneurial nature of their owners, analysis of collected data indicates that local family businesses are comparable to similar organizations worldwide. Nevertheless, processes towards professionalization of family businesses in Tucumán are partially implemented. There is great interest in including digital solutions and leveraging artificial intelligence to address continuity challenges and drive business success. However, this effort is hampered by fast pace of technological change, highlighting the need of adopting strategic measures to ensure the long-term sustainability of these family commercial organizations. Journal: EthAIca Pages: 139 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024139 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:139:id:139 Template-Type: ReDIF-Article 1.0 Author-Name: Hermin Samuel Vera Candelario Author-Name-First: Hermin Samuel Author-Name-Last: Vera Candelario Author-Name: Héctor Córdova Author-Name-First: Héctor Author-Name-Last: Córdova Title: The use of artificial intelligence in digital journalism and its influence on university student training Abstract: This research explores the use of artificial intelligence in digital journalism and its influence on the training of university students studying communication in Guayaquil. The research was conducted using a theoretical framework to study key concepts such as AI tools, content analysis, ethical challenges and, above all, the responsibility that must be taken when using these technologies. Therefore, a methodology was applied using interviews and surveys, obtaining important data to support the research and thus be able to carry out the respective analysis of the results obtained. The purpose of this work is to develop a strategy for a training plan for the ethical and efficient use of artificial intelligence in digital journalism for FACSO students, so that they can learn the correct use of artificial intelligence in digital journalism. Journal: EthAIca Pages: 116 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024116 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:116:id:116 Template-Type: ReDIF-Article 1.0 Author-Name: Tomás Darquier Author-Name-First: Tomás Author-Name-Last: Darquier Author-Name: Pablo Alejandro Virgolini Author-Name-First: Pablo Author-Name-Last: Alejandro Virgolini Title: Low-Code Platform for Visual Creation and Automatic Generation of Microservice Architectures Abstract: With the growing adoption of the microservices paradigm, numerous benefits have been achieved in software development. Nonetheless, this methodology also has certain drawbacks. Through various data collection techniques, one identified issue is the unnecessary repetition in the development of common components for generic systems. Developers are often required to recreate these components multiple times across different systems and must manually configure the communications between them, which is time-consuming and increases development complexity. To address this issue, a web platform was developed that, through template-based dynamic code generation, facilitates the creation and configuration of microservices architectures via an intuitive graphical interface. Through a visual process, users can select and connect generic microservices, structuring their architectures in a personalized way that suits their requirements. The interaction is straightforward: developers drag and drop elements onto a canvas and visually establish the connections between them. Upon completion, they obtain the generated code, reducing the development of a fully functional distributed system to just a few clicks. Journal: EthAIca Pages: 104 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024104 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:104:id:104 Template-Type: ReDIF-Article 1.0 Author-Name: Tomás Darquier Author-Name-First: Tomás Author-Name-Last: Darquier Author-Name: Pablo Alejandro Virgolini Author-Name-First: Pablo Alejandro Author-Name-Last: Virgolini Title: Prototyping and Validation of a Low-Code Platform for Dynamic Code Generation in Microservices Abstract: Introduction: The project addressed the issue of developing microservice architectures, a practice increasingly adopted in the software industry due to its benefits in terms of scalability and maintenance. However, its implementation involves a high degree of technical complexity, especially in the design, integration, and deployment stages. Given this scenario, the development of a low-code web platform was proposed to facilitate the visual design of microservices, reducing development times and technical barriers. Methods: To carry out the proposal, the agile Scrum methodology was applied, allowing for iterative and incremental construction of the system. The platform was developed with technologies such as Java and Spring Framework in the backend, HTML, CSS, JavaScript, and Thymeleaf in the frontend, and PostgreSQL as the database. Apache Kafka was incorporated for asynchronous communication, MinIO for storage, and semantic technologies such as RDF and SPARQL managed by Apache Jena. Code generation was performed with Apache Velocity, based on predefined templates. Results: The system allowed users to design microservice architectures using a visual interface (canvas), configure specific properties, and automatically generate source code. In addition, it incorporated validations that ensured the consistency of the designs and offered mechanisms for authentication and export of the generated code. Conclusions: The platform achieved its goal of simplifying microservice development through a low-code approach. Its usefulness as a support tool for developers was validated, reducing complexity and time spent on repetitive technical tasks. Journal: EthAIca Pages: 132 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024132 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:132:id:132 Template-Type: ReDIF-Article 1.0 Author-Name: Leandro Andrés Culetto Author-Name-First: Leandro Author-Name-Last: Andrés Culetto Author-Name: Emmanuel Peña Álvarez Author-Name-First: Emmanuel Author-Name-Last: Peña Álvarez Title: Open innovation to accelerate the adoption of artificial intelligence in the financial services industry Abstract: This case report examines the implementation of an open innovation program in a software development company, focusing on accelerating artificial intelligence adoption through strategic collaboration with startups. The situational analysis identifies the challenges faced by technology companies in sustaining the rapid pace of innovation driven by exponential technological growth and increasing competition. To address these challenges, several strategies are outlined in action plans aimed at enhancing artificial intelligence adoption and promoting open innovation in both product and process dimensions. The conclusion highlights that the synergy between open innovation and artificial intelligence presents an opportunity to establish a sustainable competitive advantage for financial services companies that embrace it. Journal: EthAIca Pages: 138 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024138 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:138:id:138 Template-Type: ReDIF-Article 1.0 Author-Name: Tomás Darquier Author-Name-First: Tomás Author-Name-Last: Darquier Author-Name: Pablo Alejandro Virgolini Author-Name-First: Pablo Alejandro Author-Name-Last: Virgolini Title: Simplification of microservice development through low-code tools Abstract: Introduction: Enterprise application development has undergone a significant transformation in recent years, driven by the need for scalable and flexible solutions. This evolution favored the adoption of microservice architectures, which, while offering benefits such as resilience and modular scalability, also introduced technical complexities in integration and maintenance. Against this backdrop, low-code tools emerged in response to the demand for more accessible and faster-to-implement solutions. Development: The study addressed the technical fundamentals of microservice architectures, characterized by their ability to divide applications into independent services. However, these architectures posed challenges in terms of interoperability, the use of multiple languages, and increased testing and deployment efforts. Various commercial and academic platforms proposed low-code-based solutions aimed at simplifying microservice design through visual interfaces and reusable components. The technological proposal of the work integrated modern tools such as Java, Spring, Docker, and Kubernetes, along with visual development approaches, with the aim of facilitating the creation of efficient distributed systems. Conclusions: The research concluded that low-code tools offered an effective way to mitigate the complexity inherent in microservices. These solutions reduced the technical burden without compromising software quality, promoting more inclusive and sustainable development environments. Likewise, the comparative analysis of platforms highlighted the need to continue refining these tools to achieve greater flexibility and standardization. Journal: EthAIca Pages: 147 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024147 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:147:id:147 Template-Type: ReDIF-Article 1.0 Author-Name: Fernanda Lilibeth Ormeño Rivera Author-Name-First: Fernanda Lilibeth Author-Name-Last: Ormeño Rivera Author-Name: Michelle Antonella Sánchez Cedeño Author-Name-First: Michelle Antonella Author-Name-Last: Sánchez Cedeño Title: Training in the Field of Artificial Intelligence: Challenges and Opportunities in Health Science Education Abstract: Introduction: Artificial intelligence in higher education teacher training has become an imperative that challenges teachers to update themselves to be able to use this tool to generate knowledge for their students. Method: A systematic review was conducted in databases such as PUBMED, Cochrane Central Library, CINAHL, and SCIENCE DIRECT, using keywords like "health sciences," "artificial intelligence," and "teaching" during the period 2018-2024, following the PRISMA checklist. Results: Studies predominantly originated from Europe, Asia, the Middle East, and the USA, especially involving nursing and medical students. The most notable opportunities of AI include the relationship between ethics and technology, the training of academic tutors, and its contribution to professional education, clinical case management, literature searches, and student learning. However, challenges were identified, such as uncertainty about employability, limited funding for training, and the acquisition of licenses. Additionally, there is a need to promote responsible use of AI to avoid diminishing empathy and humanization in patient care. Conclusion: AI is a valuable ally in health sciences education, but ethical considerations and teacher training must be taken into account for responsible use, as well as fostering critical and reflective thinking in its implementation. Journal: EthAIca Pages: 134 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024134 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:134:id:134 Template-Type: ReDIF-Article 1.0 Author-Name: María Julieta Rabozzi Orelo Author-Name-First: María Julieta Author-Name-Last: Rabozzi Orelo Title: Mobile app for planning and tracking healthy eating habits with artificial intelligence and augmented reality Abstract: Staying healthy in today’s world can be a considerable challenge due to the difficulty of accessing personalized meal plans, the lack of tools for habit tracking, and the limited availability of information about the foods we consume. Although technology has advanced significantly, there is no platform that combines nutritional plans comparable to those designed by a professional nutritionist with detailed information about consumed foods and tools that facilitate evaluating the user’s progress. For this reason, a mobile application was developed to provide meal plans generated by artificial intelligence, based on the Dietary Guidelines for the Argentine Population. This application adapts to each user’s dietary preferences, personal data, and objectives, featuring functionalities such as food scanning and a section where users can track their progress.This project was developed thanks to the knowledge acquired during the Software Engineering program, encompassing stages such as identifying and analyzing the problem and designing a proposal that incorporates transformative technologies like artificial intelligence and augmented reality, reflecting the integration of technical and analytical skills from the conception of the idea to the implementation of the system. Journal: EthAIca Pages: 136 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024136 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:136:id:136 Template-Type: ReDIF-Article 1.0 Author-Name: Karina Alejandra Rissone Author-Name-First: Karina Author-Name-Last: Alejandra Rissone Author-Name: Mariana Arruabarrena Vittar Author-Name-First: Mariana Author-Name-Last: Arruabarrena Vittar Title: Maryland Educational Unit Intervention Plan: Artificial Intelligence, ChatGPT, and Virtual Reality in Education Abstract: This intervention plan will be implemented at the Maryland Educational Unit in Córdoba. Due to technological advances, teachers and students need to incorporate ICT into classroom learning, developing new skills that will help them stay at the forefront of their field. That is why we are proposing to develop a training project on educational innovation, providing tools and strategies such as artificial intelligence, aimed at primary school teachers, for the inclusion of new technologies in classroom practices during the 2024 school year. Six meetings will be held. In the first stage, an informative meeting will be held with the management team and then with the teachers. The first meeting will present the topic of artificial intelligence and its applications in education. The second meeting will introduce Chat GPT, and the third meeting will present virtual reality. The fourth meeting will present different platforms for exploring educational virtual reality content. This will be followed by a practical class. The last meeting will present additional resources and online communities for further exploration of these technologies. The meetings will be led by the external educational advisor. The institution's resources will be used. It is hoped that, with these tools, teachers will acquire critical thinking, reflection, comparison and analysis skills for use in the school environment. These tools develop creativity and innovation, exploring multiple possibilities. The purchase of virtual reality glasses is recommended. Journal: EthAIca Pages: 145 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024145 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:145:id:145 Template-Type: ReDIF-Article 1.0 Author-Name: Antonella Petrini Author-Name-First: Antonella Author-Name-Last: Petrini Author-Name: María Belén Gauna Author-Name-First: María Author-Name-Last: Belén Gauna Title: Child Sexual Abuse Material facilitated by Artificial Intelligence Abstract: The present study aimed to analyze how artificial intelligence can facilitate the production and distribution of child sexual abuse material. The scope of the study was descriptive, adopting a qualitative approach, and the research design was non-experimental cross- sectional. The selected sample comprised documents, agreements, laws and books related to the subject matter; the sampling method was non-probabilistic and qualitative data collection instruments were used in the conduct of the study. The results demonstrated the development of Artificial Intelligence (AI) in the criminal sphere, as well as the lack of efficient legislation at both national and international level, even though initiatives addressing these matters have been explored in both contexts, along with an analysis of how these crimes operate. In conclusion, the paper highlighted an increase in the prevalence of crime, emphasizing the complexities of combating it without a clear and robust regulatory framework. This study also underscored the risks posed by social platforms lacking appropriate restrictions. Mutual collaboration among governments, organizations, companies and society is key to address these crimes, and the implementation of preventive strategies is fundamental to mitigate risks and safeguard minors in digital environments. The findings presented in this paper emphasize the need for a regulatory framework that addresses child sexual abuse material preventively and reactively. Journal: EthAIca Pages: 146 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024146 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:146:id:146 Template-Type: ReDIF-Article 1.0 Author-Name: Karina Alejandra Rissone Author-Name-First: Karina Alejandra Author-Name-Last: Rissone Author-Name: Vittar Mariana Arruabarrena Author-Name-First: Vittar Mariana Author-Name-Last: Arruabarrena Title: Educational innovation with artificial intelligence and augmented reality Abstract: The study analysed the importance of educational innovation through the incorporation of technologies such as artificial intelligence (AI) and augmented reality at primary level. The proposal focused on the Maryland Educational Unit in the province of Córdoba, where a need was identified to update teaching practices in line with current technological challenges. A training project was proposed for teachers to integrate these tools into the 2024 school year. Development: The educational intervention included a three-stage plan: awareness, training and evaluation. It was based on National Education Law No. 26,206, which considers education a national priority, and on theoretical frameworks such as those of Freire and UNESCO on digital literacy. The project introduced the use of Chat GPT as a teaching assistant, capable of personalising learning, and augmented reality, which facilitated immersive, motivating and contextualised experiences. These tools made it possible to represent complex concepts and develop skills such as creativity, critical thinking and collaboration. Conclusion: The implementation of the project sought to transform the pedagogical culture and strengthen the role of teachers as facilitators. It was concluded that training in AI and augmented reality is a key strategy for reducing the digital divide and improving educational quality. The experience reaffirmed that technology, used ethically, enhances learning and prepares students for the challenges of the 21st century. Journal: EthAIca Pages: 107 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024107 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:107:id:107 Template-Type: ReDIF-Article 1.0 Author-Name: Antonella Petrini Author-Name-First: Antonella Author-Name-Last: Petrini Author-Name: María Belén Gauna Author-Name-First: María Belén Author-Name-Last: Gauna Title: Artificial intelligence and digital sex crimes: an emerging threat to children Abstract: The article analysed the impact of artificial intelligence (AI) on the creation of child sexual abuse content, an emerging problem within cybercrime. In the introduction, AI was presented as a technology capable of imitating human cognitive functions, highlighting its potential for both progress and illicit uses, especially in digital environments. During the development, it explained how generative AI was used by criminals to produce CSM (Child Sexual Abuse Material) without the need for physical contact with real victims. It showed how this technology made it possible to create hyper-realistic images and fake sexual videos of minors, generating a new form of victimisation. Various international reports, such as those by the Internet Watch Foundation and the National Centre for Missing and Exploited Children, revealed an alarming increase in this content on the web, as well as the difficulty in distinguishing it from real material. In addition, legal weaknesses in countries such as Argentina, where specific regulations to punish these technological crimes had not yet been established, were addressed. In conclusion, the need for an interdisciplinary response combining legislation, education, technology and social awareness was raised. It was argued that without adequate regulatory frameworks and preventive strategies, AI could become a dangerous tool for facilitating crime. Finally, it was emphasised that protecting children and adolescents from these new digital threats should be an urgent priority on the public agenda. Journal: EthAIca Pages: 111 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024111 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:111:id:111 Template-Type: ReDIF-Article 1.0 Author-Name: Rodrigo Nahuel Pastrana Author-Name-First: Rodrigo Nahuel Author-Name-Last: Pastrana Author-Name: Teresita Jalil Author-Name-First: Teresita Author-Name-Last: Jalil Title: Training and emerging technologies: Towards a new pedagogical paradigm Abstract: Introduction: The study addressed shortcomings in teacher training at the Santa Ana Institute, specifically in relation to the incorporation of innovative technological tools such as artificial intelligence. It was based on the diagnosis that many teachers still applied traditional teaching strategies that were out of touch with the needs of 21st-century students, which limited the development of meaningful and relevant learning. Development: From a constructivist approach, training was proposed that focused on the use of the artificial intelligence tool Sendsteps.ai, with the aim of promoting dynamic, collaborative, and interactive teaching practices. Through this technology, teachers could design more attractive presentations tailored to the realities of their students. Contributions from authors such as Vygotsky and Bates were integrated to theoretically support the need for methodological transformation. The flipped classroom methodology was also highlighted as a key strategy for empowering both teachers and students in the construction of knowledge. Conclusion: The study concluded that continuous teacher training was essential to achieve teaching-learning processes consistent with current challenges. The implementation of AI-based technologies would not only improve teaching practices but also encourage student participation and retention. The proposed training sought to transform the role of teachers into a more active, reflective and innovative one, enabling them to deal with change effectively and promote an educational environment adapted to the digital context. Journal: EthAIca Pages: 101 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024101 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:101:id:101 Template-Type: ReDIF-Article 1.0 Author-Name: Gladys Ester Juárez Author-Name-First: Gladys Ester Author-Name-Last: Juárez Author-Name: Natalia Gambino Author-Name-First: Natalia Author-Name-Last: Gambino Title: Professionalising to endure: a strategic approach for Argentine family businesses Abstract: Introduction: The article addressed the importance of the professionalisation process in Argentine family businesses, focusing particularly on the structuring stage that usually begins ten years after the business is established. It was based on the theoretical analysis of authors such as Quirós, Molinari and Hambra, who provided different perspectives on the challenges faced by founders when professionalising their businesses. Development: It was highlighted that professionalisation involved not only the incorporation of formal rules and processes, but also a profound change in the mindset of the founder, who had to learn to delegate, train successors and adopt new leadership models. It was also observed that this process generated significant transformations in strategies, talent management and organisational control. Molinari stressed that the biggest obstacles were not financial, but emotional and personal, and lay with the leader himself. Hambra contributed the notion of business life cycles, showing how growth without structure led to disorder and highlighted the need for institutionalisation. The emerging role of artificial intelligence as a tool for optimising operational efficiency was also analysed, although its adoption in this type of company remained limited due to the conservative profile of its leaders. Conclusion: The study concluded that professionalisation proved to be the only way to ensure the continuity of family businesses. This process should have begun at the founding stage and included both the transformation of the founder and the integration of disruptive technologies, while always respecting the family identity. Journal: EthAIca Pages: 108 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024108 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:108:id:108 Template-Type: ReDIF-Article 1.0 Author-Name: Hermin Samuel Vera Candelario Author-Name-First: Hermin Samuel Author-Name-Last: Vera Candelario Author-Name: Héctor Córdova Author-Name-First: Héctor Author-Name-Last: Córdova Title: Impact of Artificial Intelligence on Journalism Training Abstract: This research addressed how the use of artificial intelligence influenced the academic training of journalism students at the Faculty of Social Communication (FACSO) of the University of Guayaquil. It was observed that, although these tools offered benefits such as task automation, data analysis, and content generation, they also created a growing technological dependency. This dependence compromised the development of fundamental journalism skills, such as critical writing, source verification, and analytical judgement. From a theoretical perspective, models such as social communication theory, professional ethics, and the social construction of technology were used to understand the relationship between the student, the technological tool, and the academic environment. Furthermore, it became clear that the implementation of AI required a review of educational methods in order to balance the use of technology with the development of human and ethical skills. Methodologically, the study combined quantitative and qualitative approaches, using surveys and interviews to collect data on the use, perception and learning of these technologies. Finally, it was concluded that AI should not replace critical thinking or journalistic creativity, but rather be integrated ethically and equitably as a complement to the educational process, thus promoting job preparation adapted to the demands of the digital environment. Journal: EthAIca Pages: 100 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024100 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:100:id:100 Template-Type: ReDIF-Article 1.0 Author-Name: María Julieta Rabozzi Orelo Author-Name-First: María Julieta Author-Name-Last: Rabozzi Orelo Title: Integrating technology and nutrition for healthy eating Abstract: The application developed responded to the need to offer personalised meal plans aligned with the Dietary Guidelines for the Argentine Population. This solution used Artificial Intelligence to generate individualised nutritional recommendations and Augmented Reality to scan foods, enabling more conscious eating. It provided concrete benefits, such as access to healthy meal plans, daily progress tracking, and reduced risk of chronic non-communicable diseases. The project integrated knowledge of nutrition, computer science, and user experience design. Technologies such as SwiftUI for declarative interfaces, MVVM architecture to keep logic separate and organised, Node.js for backend development, and MongoDB for unstructured database management were implemented. This combination enabled a robust, flexible, and scalable application. The problem domain analysis highlighted the importance of distinguishing between meal plans and strict diets, emphasising mindful eating as a central focus. Compared to other apps on the market, this proposal stood out for its comprehensive, evidence-based and user-centred approach. In conclusion, the application represented a significant contribution to digital health. Not only did it promote healthy and sustainable eating, but it also proved to be an effective tool for fostering positive habits through education, personalisation and the strategic use of emerging technologies. Its development marked an important step towards digital solutions that improve quality of life. Journal: EthAIca Pages: 137 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024137 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:137:id:137 Template-Type: ReDIF-Article 1.0 Author-Name: Fernanda Lilibeth Ormeño Rivera Author-Name-First: Fernanda Lilibeth Author-Name-Last: Ormeño Rivera Author-Name: Michelle Antonella Sánchez Cedeño Author-Name-First: Michelle Antonella Author-Name-Last: Sánchez Cedeño Author-Name: Jacqueline Macías Mendoza Author-Name-First: Jacqueline Author-Name-Last: Macías Mendoza Title: Training in the Field of Artificial Intelligence: Challenges and Opportunities in Health Science Education Abstract: Introduction: Artificial intelligence in higher education teacher training has become an imperative that challenges teachers to update themselves to be able to use this tool to generate knowledge for their students. Method: A systematic review was conducted in databases such as PUBMED, Cochrane Central Library, CINAHL, and SCIENCE DIRECT, using keywords like "health sciences," "artificial intelligence," and "teaching" during the period 2018-2024, following the PRISMA checklist. Results: Studies predominantly originated from Europe, Asia, the Middle East, and the USA, especially involving nursing and medical students. The most notable opportunities of AI include the relationship between ethics and technology, the training of academic tutors, and its contribution to professional education, clinical case management, literature searches, and student learning. However, challenges were identified, such as uncertainty about employability, limited funding for training, and the acquisition of licenses. Additionally, there is a need to promote responsible use of AI to avoid diminishing empathy and humanization in patient care. Conclusions: AI is a valuable ally in health sciences education, but ethical considerations and teacher training must be taken into account for responsible use, as well as fostering critical and reflective thinking in its implementation. Journal: EthAIca Pages: 124 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024124 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:124:id:124 Template-Type: ReDIF-Article 1.0 Author-Name: Karina Alejandra Rissone Author-Name-First: Karina Author-Name-Last: Alejandra Rissone Author-Name: Mariana Arruabarrena Vittar Author-Name-First: Mariana Author-Name-Last: Arruabarrena Vittar Title: Educational Intervention with Artificial Intelligence at the Maryland Educational Unit Abstract: The paper presented a pedagogical intervention plan focused on technological innovation through the implementation of artificial intelligence (AI) at the Maryland Educational Unit. The proposal was based on the guidelines of National Education Law No. 26,206 and UNESCO's approaches, which highlighted the importance of ensuring inclusive, equitable, and quality education adapted to the challenges of the digital age. It analysed how AI, through tools such as Chat GPT, chatbots and augmented reality, offered new possibilities for personalising learning, improving teacher time management and enriching curriculum content. Teacher training was promoted as an essential axis for effectively integrating these technologies and generating real change in school practices. Digital literacy was understood as a key competence for both students and educators in a context of constant technological transformation. The research included previous experiences, such as the study by the University of Pent Flacso, which demonstrated how the use of AI enhanced 21st-century skills such as critical thinking, creativity and collaboration. It was concluded that educational change did not depend exclusively on technological tools, but on a critical and conscious reinterpretation of teaching practice. The project highlighted that AI strengthened the role of teachers as mediators and facilitators, promoting transformative education in line with the demands of a globalised world. Journal: EthAIca Pages: 131 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024131 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:131:id:131 Template-Type: ReDIF-Article 1.0 Author-Name: Antonella Petrini Author-Name-First: Antonella Author-Name-Last: Petrini Author-Name: María Belén Gauna Author-Name-First: María Author-Name-Last: Belén Gauna Title: Artificial Intelligence and its Impact on the Production of Illicit Materials Abstract: Artificial intelligence has profoundly transformed different areas of human development, but it has also been used for criminal purposes, especially in the generation of child sexual abuse material (CSAM). This alarming phenomenon revealed AI's potential to create hyperrealistic content that is indistinguishable from real images, making it difficult to detect even by specialised analysts. The use of generative AI has enabled the production of sexual images and videos of minors, both synthetic and modified from real photos, posing a serious and growing threat. Organisations such as the Internet Watch Foundation and the National Centre for Missing & Exploited Children have documented a significant increase in the number of reports, highlighting the need for more effective legal frameworks and public policies. At the local level, institutions such as the Buenos Aires Cybersecurity Centre warned about practices such as ‘deepnudes’, highlighting the urgent need to take action in national contexts as well. From a criminological perspective, AI was understood as a tool that facilitated criminal opportunities by reducing barriers for offenders and allowing crimes to be committed without direct contact with victims. In the absence of regulation and digital education, the need for a comprehensive response was raised, including legislation, prevention, international cooperation and citizen training. Protecting children and adolescents from these risks required a joint effort between governments, organisations and civil society to ensure the ethical and safe use of technology. Journal: EthAIca Pages: 148 Volume: 3 Issue: Year: 2024 Subtitle : DOI: 10.56294/ai2024148 Handle: RePEc:dbk:ethaic:v:3:y:2024:i::p:148:id:148 Template-Type: ReDIF-Article 1.0 Author-Name: Jahiro Samar Andrade Preciado Author-Name-First: Jahiro Samar Author-Name-Last: Andrade Preciado Author-Name: Héctor Javier Sánchez Ramírez Author-Name-First: Héctor Javier Author-Name-Last: Sánchez Ramírez Author-Name: Ángeles Belém Priego Sánchez Author-Name-First: Ángeles Belém Author-Name-Last: Priego Sánchez Author-Name: Esther Elena Gutiérrez Pérez Author-Name-First: Esther Elena Author-Name-Last: Gutiérrez Pérez Title: Ethical Challenges in AI-Assisted Translation Abstract: The use of generative artificial intelligence (GAI) tools in professional translation has expanded rapidly, positioning systems such as ChatGPT, DeepL, and DeepSeek as common supports in the translation process. However, their widespread adoption has raised ethical concerns related to authorship, textual fidelity, professional responsibility, and transparency in the use of these technologies. This article analyzes the main ethical dilemmas emerging in AI-assisted translation practice, based on a critical literature review, the study of professional standards, and representative examples of the everyday use of these tools. It addresses tensions such as the translator’s invisibility, the risk of misinformation, technological dependency, and the potential violation of fundamental principles of the translation profession. The objective is to propose a set of ethical guidelines to assist professionals and educators in the responsible use of AI, emphasizing the need to preserve the integrity of the translation profession in the context of automation. The reflections presented here contribute to outlining an essential ethical framework for a critical and contextualized translation practice in the digital era. Journal: EthAIca Pages: 151 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025151 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:151:id:151 Template-Type: ReDIF-Article 1.0 Author-Name: Carlos Alberto Gómez Cano Author-Name-First: Carlos Alberto Author-Name-Last: Gómez Cano Title: AI: Challenges for contemporary digital education Abstract: Introduction: This study analyzes the challenges of artificial intelligence (AI) in digital education between 2019 and 2022, using a bibliometric approach. The research arose from the need to systematize existing knowledge and guide future lines of work in this emerging field. Methodology: A search was conducted in Scopus, Web of Science, Google Scholar, and ERIC, using terms such as "AI," "digital education," and "challenges." The data was filtered by year, language, and document type, and processed with tools such as VOSviewer and Bibliometrix to analyze productivity, collaborations, and thematic trends. Results: Key authors and institutions, collaborative networks, and recurring themes, such as ethics, adaptive learning, and teacher training, were identified. Scientific production showed steady growth, with a predominance of publications in English. Conclusions: The study highlights the main challenges of AI in digital education and highlights the need to investigate its ethical and pedagogical impact. The methodology employed provides a basis for future reviews. Journal: EthAIca Pages: 155 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025155 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:155:id:155 Template-Type: ReDIF-Article 1.0 Author-Name: Elvia María Jiménez Zapata Author-Name-First: Elvia María Author-Name-Last: Jiménez Zapata Title: Rural socioeconomic transformations mediated by AI Abstract: Introduction: Artificial intelligence (AI) impacts rural dynamics, but its bibliometric study is limited. This paper analyzes academic production on AI and its socioeconomic impact in rural areas between 2019 and 2022. Methodology: A search was conducted in Scopus, Web of Science, and other databases using the terms "AI," "socioeconomic transformations," and "rural." The data was processed using Bibliometrix and VOSviewer to analyze productivity, collaboration networks, and keyword co-occurrence. Duplicates were removed, and filters were applied by year, document type, and thematic relevance. Results: A large number of relevant publications were identified, with an annual growth of a quarter. Thematic core topics included smart agriculture, the digital divide, and rural employment. The United States, China, and India led the scientific production. Conclusions: AI is emerging as an expanding field for rural development, but inequalities in access persist. Further studies on public policy and inclusion are needed. Journal: EthAIca Pages: 156 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025156 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:156:id:156 Template-Type: ReDIF-Article 1.0 Author-Name: Michael Rafael Rodríguez Rodríguez Author-Name-First: Michael Rafael Author-Name-Last: Rodríguez Rodríguez Author-Name: Claudia Alejandra Delgado Calpa Author-Name-First: Claudia Alejandra Author-Name-Last: Delgado Calpa Author-Name: Héctor Andrés Mora Paz Author-Name-First: Héctor Andrés Author-Name-Last: Mora Paz Title: Comparison of kernel functions in the prediction of cardiovascular disease in Artificial Neural Networks (ANN) and Support Vector Machines (SVM) Abstract: Cardiovascular diseases are currently the leading cause of death worldwide. There are challenges, such as untimely healthcare, lack of access to technologies and timely diagnoses. Therefore, this project focuses on the use of innovative tools, giving way to the need to use artificial intelligence in the field of Machine Learning to improve the prediction of cardiovascular diseases. The research focused on determining the most effective kernel function in Artificial Neural Network (ANN) and Support Vector Machine (SVM) algorithms, making a fair comparison and evaluating the accuracy and prediction time of each proposed kernel function. Based on the results, these new optimal kernel functions are integrated into the scikit-learn library, achieving validation in the appropriate configuration for predicting the risk of CVD. This innovative approach reduces detection time, minimising the chances of future complications from preventable diseases, and provides timely diagnosis and risk factors with early warnings that can be extremely useful for healthcare personnel. Journal: EthAIca Pages: 172 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025172 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:172:id:172 Template-Type: ReDIF-Article 1.0 Author-Name: Raúl Andrés Villada Melo Author-Name-First: Raúl Andrés Author-Name-Last: Villada Melo Author-Name: Juan Camilo Caicedo Peña Author-Name-First: Juan Camilo Author-Name-Last: Caicedo Peña Author-Name: Jorge Alveiro Rivera Rosero Author-Name-First: Jorge Alveiro Author-Name-Last: Rivera Rosero Title: Enriching the tourist experience at the Santuario de las Lajas through image recognition using WhatsApp Abstract: The main objective of this research is to enrich the visitor experience at the Santuario de las Lajas through an interactive virtual assistant. With the adoption of advanced technologies in the tourism sector, such as the IoT, Big Data and mobile applications, there is an opportunity to address the lack of detailed information about the sanctuary and its cultural heritage. The scarcity of information points and tour guides affects visitors' understanding of the sanctuary's architecture and artistic representations, hindering their access to knowledge about this iconic place. In response to this need, an assistant was developed that, through WhatsApp and image recognition capabilities, allows visitors to obtain contextualised and accurate information about points of interest by sending photographs. To create the assistant, historical and cultural information about the sanctuary was collected and analysed through bibliographic sources, site visits and interviews with experts. The assistant was then implemented using artificial intelligence techniques to ensure appropriate responses to the context of each query. Once development was complete, a comprehensive evaluation was carried out to verify the effectiveness of the system in interpreting images and the accuracy of the information provided. The project not only contributes to the cultural understanding of the sanctuary, but also exemplifies the use of innovative technologies in the conservation and dissemination of cultural heritage, thus promoting a model of innovation applicable to other tourist destinations of cultural relevance. Journal: EthAIca Pages: 180 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025180 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:180:id:180 Template-Type: ReDIF-Article 1.0 Author-Name: Miracle Okwukwu Author-Name-First: Miracle Author-Name-Last: Okwukwu Author-Name: Daniel Oluwafemi Olofin Author-Name-First: Daniel Author-Name-Last: Oluwafemi Olofin Author-Name: Abdulahi Akintayo Taiwo Author-Name-First: Abdulahi Author-Name-Last: Akintayo Taiwo Title: Artificial Intelligence in Nigeria Healthcare: A Review of State, Challenges and Opportunities Abstract: Objective: To examine the current stage of Artificial Intelligence (AI) adoption in Nigeria’s healthcare system, identify the progress made, the persistent challenges and potential opportunities. Methods: A narrative review of literature from 2013 to 2025 was conducted using PubMed, Google Scholar, Researchgate and African Journals Online. Studies focusing on AI applications in healthcare settings within were selected. Results: Findings revealed AI applications in diagnostics, telemedicine, public health surveillance, and hospital administration. However, infrastructure gaps, limited digital literacy, and weak regulatory frameworks hinder widespread adoption. Opportunities exist in expanding rural access, predictive diagnostics, hospital efficiency, and health research. Conclusion: By addressing existing barriers through strategic investments, policy reforms, and cross sector collaborations, Nigeria has the potential to harness AI to drive transformative improvements in healthcare delivery. This review serves as a call to action for stakeholders across government, academia, industry, and healthcare to work collectively toward an AI driven, patient centered healthcare future in Nigeria. Journal: EthAIca Pages: 210 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025210 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:210:id:210 Template-Type: ReDIF-Article 1.0 Author-Name: Shailini Dixit Author-Name-First: Shailini Author-Name-Last: Dixit Author-Name: Md. Alimul Haque Author-Name-First: Md. Author-Name-Last: Alimul Haque Author-Name: Priya Darshini Author-Name-First: Priya Author-Name-Last: Darshini Title: Predictive Analytics in Education: Modeling the Complex Relationship Between Learning Modalities and Student Well-being Abstract: Introduction: This study examines publication trends related to student stress and mental health during online learning periods, while exploring opportunities for curriculum innovation in post-pandemic education. Method; The research utilizes a Kaggle-sourced dataset comprising survey responses from 1,000 students about their psychological well-being during remote education. This rich dataset includes ten variables capturing demographic information, lifestyle patterns, and self-assessed mental health metrics, providing valuable material for comprehensive data exploration, visualization, and predictive analysis of digital learning's psychological impacts. Beyond immediate stress assessment, the data enables investigation of broader themes including educational technology adaptation, sleep disruption, social isolation, stress perception, and emotional coping mechanisms. Result: The findings highlight the urgent need for educational systems to develop flexible curricula that address both pandemic-era challenges and evolving post-COVID learning environments. Conclusion: The study proposes curriculum frameworks that integrate mental health support with academic content, preparing institutions for future disruptions while promoting student resilience in hybrid learning settings. Journal: EthAIca Pages: 203 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025203 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:203:id:203 Template-Type: ReDIF-Article 1.0 Author-Name: Samuel Ughulu Ehimen Author-Name-First: Samuel Author-Name-Last: Ughulu Ehimen Author-Name: Joy Ochuko Edheku Author-Name-First: Joy Author-Name-Last: Ochuko Edheku Author-Name: Okwoma Augustine Akpojevwa Author-Name-First: Okwoma Author-Name-Last: Augustine Akpojevwa Author-Name: Ajueyitse Martins Otuedon Author-Name-First: Ajueyitse Author-Name-Last: Martins Otuedon Author-Name: Prince Efanimjor Author-Name-First: Prince Author-Name-Last: Efanimjor Author-Name: Festus Elugom Ubogu Author-Name-First: Festus Author-Name-Last: Elugom Ubogu Author-Name: Victoria Omenebele Kaizar Author-Name-First: Victoria Author-Name-Last: Omenebele Kaizar Author-Name: Samuel Ejiro Uwhejevwe-Togbolo Author-Name-First: Samuel Ejiro Author-Name-Last: Uwhejevwe-Togbolo Title: Stakeholder trust and metaverse corporate social responsibility communication: a strategic analysis of Nigerian consumer goods firms Abstract: The study examine stakeholder trust and Metaverse CSR communication: a strategic analysis of nigerian consumer goods firms. Metaverse is agreed to be insistent and communicating virtual environment that offers firms a novel platform to disclose their corporate social responsibility (CSR) initiatives in such a way that is transparent, engaging, and emotionally resonant. The theoretical reinforcement of this study is drawn from stakeholder theory and signaling theory. The study acknowledged that the rise of immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) has transformed how firms communicate their CSR initiatives to their stakeholders. Thus, digital transparency in Nigeria CG sector has become a strategic imperative, motivated by investor expectations, regulatory improvements, and consumer demand for ethical responsibility. The study concluded that Immersive CSR communication in the Metaverse has significantly influence stakeholder trust and firm level performance of Nigerian CG firms as indicated in the study. Through the integration of stakeholder theory and signaling theory, the study demonstrated that transparency, interactivity, and ethical engagement through the digital platforms has foster deeper relationships between customers, investors, and regulators. The study also accentuate that immersive technologies did not only improve brand authenticity and accountability but also serve as strategic outfits for market variation. Journal: EthAIca Pages: 165 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025165 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:165:id:165 Template-Type: ReDIF-Article 1.0 Author-Name: Dipak Roy Author-Name-First: Dipak Author-Name-Last: Roy Author-Name: Mrutyunjay Padhiary Author-Name-First: Mrutyunjay Author-Name-Last: Padhiary Author-Name: Pankaj Roy Author-Name-First: Pankaj Author-Name-Last: Roy Author-Name: Javed Akhtar Barbhuiya Author-Name-First: Javed Author-Name-Last: Akhtar Barbhuiya Title: Artificial Intelligence-Driven Smart Aquaculture: Revolutionizing Sustainability through Automation and Machine Learning Abstract: AI incorporation in aquaculture has transformed the industry completely, making crucial processes automated, maximizing productivity, and promoting sustainability. AI, specifically machine learning, refers to the application of modern smart aquaculture systems for tasks such as fish species classification, health monitoring, feed regulation, and management of water quality. It thereby sets inefficiency issues right while reducing impacts on the environment through real-time data-driven decision-making. This article deals with very recent developments in the applications of AI and machine learning in aquaculture, pointing out their importance in increasing production as well as eco-friendly management of aquatic environments. Journal: EthAIca Pages: 398 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025398 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:398:id:398 Template-Type: ReDIF-Article 1.0 Author-Name: William Castillo-González Author-Name-First: William Author-Name-Last: Castillo-González Author-Name: Javier González-Argote Author-Name-First: Javier Author-Name-Last: González-Argote Title: Epistemological approach to bibliometric analysis Abstract: The present article proposes an epistemological approach to bibliometrics, understood not only as a set of quantitative techniques to measure scientific production, but also as a practice loaded with ontological, political and social assumptions that shape the field of knowledge. Through an analytical-interpretative approach, the paradigms that have underpinned its development are critically reviewed, from the positivist and functionalist tradition to constructivist and critical perspectives. The study argues that bibliometrics operates as an evaluation technology that not only reflects science, but also shapes it, establishing normative criteria that condition the production, circulation and legitimization of knowledge. In view of its epistemic limitations and its role in the reproduction of cognitive inequalities, we propose a re-reading from a constructivist-critical paradigm, capable of integrating ethical, contextual and pluralistic dimensions in the evaluation of scientific knowledge. This reflection seeks to contribute to a more just, situated and socially relevant model of science. Journal: EthAIca Pages: 360 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025360 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:360:id:360 Template-Type: ReDIF-Article 1.0 Author-Name: Luis E. Salas Author-Name-First: Luis E. Author-Name-Last: Salas Author-Name: Shino R. Caamaño Author-Name-First: Shino R. Author-Name-Last: Caamaño Author-Name: Rodolfo A. Benalcazar Author-Name-First: Rodolfo A. Author-Name-Last: Benalcazar Author-Name: Lailimar V. Turibbi Author-Name-First: Lailimar V. Author-Name-Last: Turibbi Author-Name: Daniela Z. Quiroz Author-Name-First: Daniela Z. Author-Name-Last: Quiroz Author-Name: Mario A. García Author-Name-First: Mario A. Author-Name-Last: García Title: Artificial intelligence tools in the daily study of medical students Abstract: The use of artificial intelligence (AI) tools in medical education has gained relevance in recent years, offering new opportunities to optimize learning and academic management. This study examines the impact of AI on the study habits of medical students at San Gregorio de Portoviejo University, assessing both its benefits and the challenges associated with its implementation. Through a quantitative methodology, a sample of students was surveyed to determine their perceptions of the use of AI in their academic training. The results indicate a majority acceptance of these tools, highlighting their usefulness in improving autonomous learning and the organization of the study. However, the need for specific training to optimize its use was also identified. It is concluded that, although AI represents a valuable resource in medical education, its impact depends largely on access to the technology and adequate training in its use. Journal: EthAIca Pages: 380 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025380 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:380:id:380 Template-Type: ReDIF-Article 1.0 Author-Name: Sunitha Purushottam Ashtikar Author-Name-First: Sunitha Author-Name-Last: Purushottam Ashtikar Author-Name: Geetha Manoharan Author-Name-First: Geetha Author-Name-Last: Manoharan Title: Reconceptualizing Higher Education: Challenges of Inclusive Teaching Methods and Digital Innovation in the New Normal Abstract: Introduction: The pandemic has posed unprecedented challenges to healthcare and higher education. It has encouraged faster migration from traditional modes of learning to digital means and called for inclusive and adaptive educational strategies. As institutions begin to redefine their pedagogical approaches, integrating inclusive practices into digital education is paramount for equity and accessibility in this new normal. The intent of this chapter is to investigate the effectiveness of inclusive pedagogical principles within online higher education. The possible issues include teaching methods, learner-centered content delivery, and formative assessments that encourage inclusive e-learning environments in the post-pandemic age. Methods: A qualitative review methodology is employed to synthesize current research and case studies related to inclusive digital teaching practices. Through this analysis, the study considers institutional frameworks that support hybridity in time and place, flexible learning models, and advanced digital pedagogies to examine their effect on teaching efficacy and student inclusivity. Results: The results show that the flexible learning structure and hybrid pedagogical models have fostered learner involvement and developmental engagement in a significative way. Institutions that merge digital innovation with inclusive teaching strategies show better adaptability to and educational outcomes for varied student populations. Conclusions: That study concluded that inclusive digital pedagogy is vital for the establishment of equitable higher education within the new norm. The study recommends that educational leaders intentionally and strategically make decisions that align with long-term inclusive educational objectives. Institutions need to rethink teaching practices to establish accessible, student-centered, and technologically enriched learning environments. Journal: EthAIca Pages: 410 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025410 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:410:id:410 Template-Type: ReDIF-Article 1.0 Author-Name: Sunitha Purushottam Ashtikar Author-Name-First: Sunitha Author-Name-Last: Purushottam Ashtikar Author-Name: Manoharan Geetha Author-Name-First: Manoharan Author-Name-Last: Geetha Title: Digital Transformation and the Changing Nature of Work: Emerging Challenges Abstract: Digital technologies are maturing and working rapidly to change the work environment of today, disrupting age-old job structures, organizational practices, and the very nature of work. This study aims to address the ways in which digital transformation, propelled by technologies such as AI, automation, cloud computing, and big data, is redefining work across all industries. With digital tools in vogue, employees need new roles, higher-level digital competencies, and alternative work arrangements like remote and hybrid models. These transformations are creating new challenges that include technostress, job obsolescence, and digital inequality. Methods: A qualitative study informed by very recent empirical studies and theoretical literature. The approach is to synthesize insights from diverse case studies, industry-specific labor reports, and academic research into the impact of digital transformation on the workforce and organizational behavior. Results: Such findings reveal the very significant impacts of digital transformation on employee productivity, work-related satisfaction, and the culture of the organization. The importance of digital leadership, strategic change management, and continuous upgrading of employee skills significantly applies in their effective management of the transformation process. Conclusions: Going forward, organizations should focus on creating a resilient workforce that is digitally agile to remain competitively viable in a rapidly changing socio-economic landscape. In this context, the paper not only outlines opportunities and challenges associated with the changing nature of work but also presents strategic opportunities for policymakers, educators, and business leaders to capitalize on digital transformation. Journal: EthAIca Pages: 411 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025411 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:411:id:411 Template-Type: ReDIF-Article 1.0 Author-Name: Muthu Selvam Author-Name-First: Muthu Author-Name-Last: Selvam Author-Name: Rubén González Vallejo Author-Name-First: Rubén Author-Name-Last: González Vallejo Title: Human-in-the-Loop Models for Ethical AI Grading: Combining AI Speed with Human Ethical Oversight Abstract: The adoption of AI-powered grading systems in academic institutions promised improved efficiency, consistency, and scalability. However, these benefits introduced ethical challenges, including algorithmic bias, contextual insensitivity, and reduced transparency, particularly in high-stakes assessments. To address these concerns, the chapter presented a Human-in-the-Loop (HITL) grading framework that integrated AI-generated recommendations with human oversight. The model consisted of four layers: (i) pre-grading configuration with customizable rubrics and model calibration; (ii) preliminary scoring using transformer-based language models; (iii) human validation and contextual adjustment of AI outputs; and (iv) transparent feedback supported by dual-logged audit trails. A case study was conducted at a mid-sized university, where the framework was applied to 800 undergraduate essays. As a result of this implementation, the faculty validated 87 % of the AI-generated scores with only minor adjustments, while 13 % required overrides due to misinterpretations involving creative expression, linguistic nuance, or cultural context. The grading time was reduced by 40 %, and student satisfaction improved due to transparent assessment and educator involvement. These findings demonstrate that the HITL model has the potential to balance automation with ethical oversight, promoting fairer evaluations and preserving academic integrity. It enhanced faculty agency, ensured equity across diverse student populations, and built trust through explainable AI tools such as SHAP and LIME. The chapter concluded by proposing policy guidelines, technical integrations, and communication strategies, while advocating for future applications in multimodal grading and open-source ethical assessment platforms. Journal: EthAIca Pages: 413 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025413 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:413:id:413 Template-Type: ReDIF-Article 1.0 Author-Name: Fatimazahra Ouahouda Author-Name-First: Fatimazahra Author-Name-Last: Ouahouda Author-Name: Khadija Achtaich Author-Name-First: Khadija Author-Name-Last: Achtaich Author-Name: Naceur Achtaich Author-Name-First: Naceur Author-Name-Last: Achtaich Title: Gender, age, and emotion-aware strategies in AI-enhanced education: insights from future educators and algorithmic thinking in primary schools Abstract: Introduction: Artificial Intelligence (AI) is rapidly transforming educational landscapes. Understanding how educators and students perceive and engage with AI is crucial for effective integration. Objectives: This study aims to (1) analyze the attitudes of future educators toward AI in teaching, considering variables such as gender and age, and (2) evaluate the effectiveness of emotion-aware, ICT-based instructional strategies in enhancing algorithmic thinking among primary school pupils. Methods: A mixed-methods approach was employed. Quantitative data on pre-service teachers’ perceptions were collected via surveys from participants at state-managed universities in the Zamboanga Peninsula, Philippines. Additionally, an experimental pedagogical intervention using emotion-sensitive strategies was implemented in selected primary schools to assess changes in students' algorithmic thinking skills. Results: Statistical analyses revealed significant differences in AI-related perceptions based on gender and age among pre-service teachers. Furthermore, primary school pupils who participated in the emotion-aware instructional activities showed notable improvements in algorithmic thinking competencies compared to control groups. Conclusions: The findings underscore the importance of aligning AI integration with the emotional and sociocultural dynamics of both teachers and learners. Emotion-sensitive strategies not only foster computational competencies in young students but also create inclusive teaching environments. The study advocates for thoughtful, context-aware implementation of AI in education to maximize its transformative potential. Journal: EthAIca Pages: 406 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025406 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:406:id:406 Template-Type: ReDIF-Article 1.0 Author-Name: Petros Chavula Author-Name-First: Petros Author-Name-Last: Chavula Author-Name: Fredrick Kayusi Author-Name-First: Fredrick Author-Name-Last: Kayusi Title: Technofixing the Future in Mining Industry: Ethical Side Effects of Using AI and Big Data to Meet the SDGs Abstract: Recent advances in artificial intelligence (AI), big data, and non- geostationary satellite (NGSO; LEO/MEO) services promise faster , safer , and “ greener ” mining , but also raise ethical and governance risks . This study interrogates the technofix narrative. Objectives were to map NGSO+AI applications across the mining value chain ; assess technical , operational , environmental , and economic performance; examine governance , data rights , and justice implications ; evaluate capacity and procurement models ( with an East African lens ); and distill actionable guidance . Following a PRISMA-2020 protocol , a mixed-methods review ( database inception –12 Aug 2025) of peer- reviewed and grey literature was undertaken with duplicate screening and appraisal (JBI, RoB 2/ROBINS-I, AACODS; GRADE/ CERQual ). Over 80 empirical studies and initiatives were synthesized ; random-effects meta- analysis was used where outcomes were comparable, alongside realist narrative synthesis . NGSO connectivity reduced latency (LEO: tens of ms; MEO: ~100–200 ms) and high-revisit EO (SAR/ optical ) improved surface-change detection ; operational gains ( uptime , reporting ) were noted but with low – moderate certainty given short follow -up and sponsorship . Governance lagged capability : data ownership and portability were unclear , third-party audit access rare, and community participation uneven ; ethical risks included bias , privacy , and cultural impacts . East African pilots showed technical promise amid institutional gaps. NGSO+AI can advance SDG- aligned mining only when coupled to binding data rights , independent assurance , participatory pathways , open interfaces, and local capacity ; otherwise tools risk performative compliance rather than accountable , just outcomes . Journal: EthAIca Pages: 407 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025407 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:407:id:407 Template-Type: ReDIF-Article 1.0 Author-Name: Joffrey Baeyaert Author-Name-First: Joffrey Author-Name-Last: Baeyaert Title: Epistemic Injustice in Generative AI: A Pipeline Taxonomy, Empirical Hypotheses, and Stage-Matched Governance Abstract: Introduction: generative AI systems increasingly influence whose knowledge is represented, how meaning is framed, and who benefits from information. However, these systems frequently perpetuate epistemic injustices—structural harms that compromise the credibility, intelligibility, and visibility of marginalized communities. Objective: this study aims to systematically analyze how epistemic injustices emerge across the generative AI pipeline and to propose a framework for diagnosing, testing, and mitigating these harms through targeted design and governance strategies. Method: a mutually exclusive and collectively exhaustive (MECE) taxonomy is developed to map testimonial, hermeneutical, and distributive injustices onto four development stages: data collection, model training, inference, and dissemination. Building on this framework, four theory-driven hypotheses (H1–H4) are formulated to connect design decisions to measurable epistemic harms. Two hypotheses—concerning role-calibrated explanations (H3) and opacity-induced deference (H4)—are empirically tested through a PRISMA-style meta-synthesis of 21 behavioral studies. Results: findings reveal that AI opacity significantly increases deference to system outputs (effect size d ≈ 0,46–0,58), reinforcing authority biases. In contrast, explanations aligned with stakeholder roles enhance perceived trustworthiness and fairness (d ≈ 0,40–0,84). These effects demonstrate the material impact of design choices on epistemic outcomes. Conclusions: Epistemic justice should not be treated as a post hoc ethical concern but as a designable, auditable property of AI systems. We propose stage-specific governance interventions—such as participatory data audits, semantic drift monitoring, and role-sensitive explanation regimes—to embed justice across the pipeline. This framework supports the development of more accountable, inclusive generative AI. Journal: EthAIca Pages: 417 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025417 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:417:id:417 Template-Type: ReDIF-Article 1.0 Author-Name: Niño D. Torreciba Author-Name-First: Niño D. Author-Name-Last: Torreciba Author-Name: Ericson O. Alieto Author-Name-First: Ericson O. Author-Name-Last: Alieto Title: Attitude, Anxiety, and Literacy among Teacher Aspirants’ Embrace of Artificial Intelligence: Implications for Practical and Ethical Challenges in Integrating AI in Education Abstract: Attitude, anxiety, and literacy are essential factors in determining the acceptance of artificial intelligence (AI), particularly in its integration into education. Despite their relevance, few studies have explored their mutual influence and their impact on teacher aspirants’ perspectives toward AI. This study aimed to analyze these constructs and their interrelationships through a descriptive-quantitative-correlational design. Stratified random sampling was employed to select 200 respondents from the education programs of a state university. The results indicated that teacher aspirants hold a positive attitude toward AI (M=4,19), exhibit low anxiety (M=2,44), and demonstrate very high literacy (M=6,22). Significant differences were observed in levels of anxiety, literacy, and attitudes across course programs. Furthermore, a significant interrelationship among the three constructs was established. The findings highlight the pivotal role of attitudes, anxiety, and literacy in shaping teacher aspirants’ acceptance of AI and emphasize their importance in guiding future educational integration. Journal: EthAIca Pages: 416 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025416 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:416:id:416 Template-Type: ReDIF-Article 1.0 Author-Name: Sachin Gupta Author-Name-First: Sachin Author-Name-Last: Gupta Author-Name: Pragya Sharma Author-Name-First: Pragya Author-Name-Last: Sharma Author-Name: Krishna Reddy Vajrala Author-Name-First: Krishna Reddy Author-Name-Last: Vajrala Author-Name: Ambreen Fatima Author-Name-First: Ambreen Author-Name-Last: Fatima Author-Name: Neetu Sharma Author-Name-First: Neetu Author-Name-Last: Sharma Title: Integrating Artificial Intelligence in Education: Advancing Personalized Learning Within Ethical Frameworks: An Overview Abstract: Introduction: Artificial Intelligence (AI) is reshaping education by facilitating adaptive, personalized, and data-informed learning experiences. Through intelligent tutoring systems, predictive analytics, and AI-powered feedback mechanisms, educators can tailor instruction to meet diverse learner needs while enhancing efficiency and engagement across both traditional and digital learning environments. Objective: this study aims to examine the effective use of artificial intelligence (AI) in education for promoting personalized learning, while upholding key ethical standards. Method: A short communication methodology was employed to synthesize recent developments in AI applications in education. Relevant literature published between 2018 and 2025 was identified through searches of databases including PubMed, Scopus, ResearchGate, and Google Scholar. Studies were selected based on criteria related to the use of AI in personalized learning, assessment, instructional design, and administrative automation. Data were thematically analyzed to evaluate the benefits, implementation strategies, and challenges associated with AI integration. Results: AI-driven tools were found to significantly enhance educational outcomes by enabling proactive (e.g., curriculum design, predictive enrollment analysis) and reactive (e.g., real-time tutoring, automated grading) engagement. Platforms like adaptive learning systems, intelligent tutoring tools, and AI-driven assessment software have enabled personalized learning experiences and eased administrative tasks. However, significant challenges persist, including concerns over data privacy, algorithmic bias, digital literacy gaps, and unequal access to technological infrastructure. Conclusion: AI technologies hold substantial promise in creating more personalized, inclusive, and effective educational ecosystems. By streamlining teaching processes and supporting learner-centered models, AI enhances both pedagogical impact and academic performance. However, ethical concerns and infrastructural barriers must be addressed to ensure responsible and sustainable adoption. Future efforts should focus on aligning AI development with equity, transparency, and accessibility in education. Journal: EthAIca Pages: 418 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025418 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:418:id:418 Template-Type: ReDIF-Article 1.0 Author-Name: Konstantinos T. Kotsis Author-Name-First: Konstantinos Author-Name-Last: T. Kotsis Title: The Role of ChatGPT in Academic Writing: Pedagogical and Ethical Dimensions Abstract: Introduction: Generative AI tools such as ChatGPT are reshaping academic writing in higher education, offering both opportunities for linguistic support and creativity, while raising concerns over authorship, plagiarism, and academic integrity. Objective: This study examines the pedagogical benefits and ethical challenges of ChatGPT in academic writing, exploring how it can be integrated responsibly into higher education practices. Methods: A qualitative thematic synthesis of 33 peer-reviewed studies, reports, and theoretical essays published between 2022 and 2025 was conducted. The analysis focused on two axes: pedagogical applications in writing instruction and ethical implications for academic integrity and authorship. Development: Findings indicate that ChatGPT can serve as a valuable writing coach, enhancing brainstorming, drafting, and revision processes, particularly for multilingual and novice writers. However, issues of algorithmic dependence, fabricated content, plagiarism risks, and unequal access remain significant. The study concludes that effective use of ChatGPT requires AI literacy, transparent disclosure, and equitable institutional policies. A balanced integration of AI, supported by critical pedagogy, can empower students while safeguarding academic standards. Journal: EthAIca Pages: 420 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025420 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:420:id:420 Template-Type: ReDIF-Article 1.0 Author-Name: Jama Kaye B. Peluta Author-Name-First: Jama Kaye B. Author-Name-Last: Peluta Title: Factors Influencing ChatGPT Usage, AI Anxiety, and Learning Satisfaction: An Investigation of Teacher Aspirants’ Understanding of AI Anxiety and Ethical Concerns in Research-Based Education Abstract: Artificial intelligence (AI) has increasingly transformed education, with ChatGPT emerging as a widely used tool that supports student learning, collaboration, and research. Despite its promise, concerns remain regarding its usefulness, ethical implications, and potential for AI-related anxiety among learners. This study aimed to investigate the factors influencing ChatGPT use, AI anxiety, and learning satisfaction among preservice teachers. Specifically, it examined perceived ease of use, perceived usefulness, interaction with ChatGPT, information quality, interaction quality, collaborative learning, and learning motivation and their relationships with ChatGPT use, AI anxiety, and satisfaction. A descriptive-quantitative design was employed, utilizing survey questionnaires administered to 169 preservice teachers across five teacher education programs. The data were analyzed via descriptive statistics and Pearson correlation. The findings revealed that most constructs were rated at moderate levels, except for learning motivation, which was high, and perceived usefulness, which was weak. ChatGPT use was strongly positively correlated with learning motivation, whereas learning satisfaction was significantly related to information quality, collaborative learning, and motivation. AI anxiety was generally low but influenced how preservice teachers engaged with ChatGPT, often with caution and validation of outputs. The study concludes that while AI anxiety does not prevent ChatGPT adoption, it shapes how preservice teachers evaluate and engage with the tool. Structured training, clear guidelines, and collaborative learning opportunities are recommended to enhance perceptions of usefulness, promote responsible adoption, and strengthen learning satisfaction in teacher education. Journal: EthAIca Pages: 423 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025423 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:423:id:423 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Zeinu Hassen Author-Name-First: Mohammed Zeinu Author-Name-Last: Hassen Title: The risk of moral outsourcing: why artificial intelligence cannot and should not make our ethical decisions Abstract: Introduction: The delegation of ethical decision-making to artificial intelligence (AI), a practice termed 'moral outsourcing,' was examined. Objective: This paper critically analyzes the philosophical and social implications of moral outsourcing to AI. Method: A philosophical and theoretical analysis was conducted, synthesizing arguments from ontology, ethics, and social theory. Results: The analysis revealed three core arguments against this practice. First, an ontological gap was identified; AI systems lacked the consciousness and subjective experience necessary for genuine moral agency. Second, the study found that the rich, contextual nature of human ethics could not be successfully reduced to formal logic without mechanizing historical biases and losing essential meaning. Third, it was argued that moral outsourcing would lead to an atrophy of human moral reasoning skills and an erosion of accountability. Conclusions: It was concluded that AI should be developed as a tool to augment, not replace, human judgment, and that the final authority for ethical choice must remain a fundamentally human responsibility. Journal: EthAIca Pages: 428 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025428 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:428:id:428 Template-Type: ReDIF-Article 1.0 Author-Name: Seli Marlina Radja Leba Author-Name-First: Seli Marlina Author-Name-Last: Radja Leba Author-Name: Tobias Nggaruaka Author-Name-First: Tobias Author-Name-Last: Nggaruaka Author-Name: Ranta Butarbutar Author-Name-First: Ranta Author-Name-Last: Butarbutar Title: Smart Teaching in Rural Indonesia: Harnessing AI-Assisted Deep Learning for Teacher Professional Development Abstract: This study presents an innovative AI-assisted TPD framework that uses Microsoft Copilot and AI-powered lesson plan generators to fully incorporate Indonesia’s four core teacher competencies: pedagogy, professionalism, social engagement, and interpersonal development, while applying deep learning principles of joyful, meaningful, and mindful education. Using a mixed-methods approach, this study combined quantitative experimental analysis with qualitative teacher perceptions to evaluate the effectiveness of AI-assisted interventions. Results from an independent t-test showed a significant increase in post-test scores among the experimental group, with a t-value of 17,1 exceeding the critical value of 1,984 (α = 0,05, df = 98), leading to the rejection of the null hypothesis. This indicates that AI-assisted training had a meaningful and statistically significant impact on teacher development. Moreover, AI promotes community-based learning, improves institutional readiness, and encourages educators to think globally while acting locally. Despite these benefits, challenges remain, such as interpersonal disengagement, cultural and pedagogical mismatches, difficulties in curriculum adaptation, the need for prompt engineering skills, and concerns about teacher autonomy. However, the limited duration of the intervention is a constraint, suggesting that long-term engagement is necessary for sustained improvement. Policy efforts should focus on extending training periods and integrating culturally responsive AI pedagogy. Journal: EthAIca Pages: 419 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025419 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:419:id:419 Template-Type: ReDIF-Article 1.0 Author-Name: Paola Andrea Pérez Bravo Author-Name-First: Paola Andrea Author-Name-Last: Pérez Bravo Author-Name: Derling José Mendoza Velazco Author-Name-First: Derling José Author-Name-Last: Mendoza Velazco Author-Name: Elizeth Mayrene Flores Hinostroza Author-Name-First: Elizeth Mayrene Author-Name-Last: Flores Hinostroza Author-Name: María del Cisne Ruiz Serrano Author-Name-First: María del Cisne Author-Name-Last: Ruiz Serrano Title: Critical and correlational analysis of the use of artificial intelligence among teachers and students in online early childhood education programmes: ethical, educational and technological challenges Abstract: Introduction: artificial intelligence is increasingly embedded in education, offering opportunities for innovation while raising concerns about ethics and academic integrity. Understanding this duality is essential to ensure that technological advances are accompanied by critical reflection and responsible use. Objective: this study examined the relationship between the use of Artificial Intelligence tools and the ethical perceptions of students and teachers in the online Early Childhood Education programme at the National University of Education in Ecuador. The growing presence of automated platforms in academic practice highlighted the need to evaluate both their functionality and their ethical implications. Methods: A cross-sectional, quantitative study with a correlational design was carried out at the National University of Education in Ecuador between January and March 2025. The sample consisted of 151 students and 25 teachers, selected intentionally. Two five-point Likert-type questionnaires were used to measure participants’ knowledge and use of AI, as well as their ethical perceptions. Statistical analyses were conducted using Spearman’s correlation coefficient in SPSS v26. Results: Positive and statistically significant correlations were identified in both groups: students (ρ = 0,489, 95% CI [0,357–0,602], p < 0,001) and teachers (ρ = 0,560, 95% CI [0,212–0,782], p < 0,001). Conclusions: The findings confirm that greater experience with AI tools is associated with stronger ethical awareness. This highlights the need to strengthen digital literacy with an ethical focus in both initial and continuing training, addressing the existing gap in formal preparation for the responsible use of AI. Journal: EthAIca Pages: 415 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025415 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:415:id:415 Template-Type: ReDIF-Article 1.0 Author-Name: Javier Gonzalez-Argote Author-Name-First: Javier Author-Name-Last: Gonzalez-Argote Author-Name: Emanuel Maldonado Author-Name-First: Emanuel Author-Name-Last: Maldonado Author-Name: Karina Maldonado Author-Name-First: Karina Author-Name-Last: Maldonado Title: Algorithmic Bias and Data Justice: ethical challenges in Artificial Intelligence Systems Abstract: This article examines the critical ethical challenges posed by algorithmic bias in artificial intelligence (AI) systems, focusing on its implications for social justice and data equity. Through a systematic review of case studies and theoretical frameworks, we analyze how biased datasets and algorithmic designs perpetuate structural inequalities, particularly affecting marginalized communities. The study highlights key examples, such as gender and racial biases in facial recognition and hiring algorithms, while exploring mitigation strategies rooted in data justice principles. Additionally, we evaluate regulatory responses, including the European Union's AI Act, which proposes a risk-based governance framework. The findings underscore the urgent need for interdisciplinary approaches to develop fairer AI systems that align with ethical standards and human rights. Journal: EthAIca Pages: 159 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025159 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:159:id:159 Template-Type: ReDIF-Article 1.0 Author-Name: Jhossmar Cristians Auza-Santivañez Author-Name-First: Jhossmar Cristians Author-Name-Last: Auza-Santivañez Author-Name: Nayra Condori-Villca Author-Name-First: Nayra Author-Name-Last: Condori-Villca Author-Name: Isaura Oberson Santander Author-Name-First: Isaura Author-Name-Last: Oberson Santander Author-Name: Luis Mariano Tecuatl Gómez Author-Name-First: Luis Mariano Author-Name-Last: Tecuatl Gómez Author-Name: Laura Pamela Mamani Manzaneda Author-Name-First: Laura Pamela Author-Name-Last: Mamani Manzaneda Author-Name: Adalid Rimer Condo-Gutierrez Author-Name-First: Adalid Rimer Author-Name-Last: Condo-Gutierrez Author-Name: Ariel Sosa Remón Author-Name-First: Ariel Author-Name-Last: Sosa Remón Author-Name: Huanca Blas Apaza Author-Name-First: Huanca Author-Name-Last: Blas Apaza Author-Name: Alejandro Carías Author-Name-First: Alejandro Author-Name-Last: Carías Author-Name: Freddy Ednildon Bautista-Vanegas Author-Name-First: Freddy Ednildon Author-Name-Last: Bautista-Vanegas Author-Name: Fidel Aguilar-Medrano Author-Name-First: Fidel Author-Name-Last: Aguilar-Medrano Title: Artificial intelligence, education and digital inclusion Abstract: Introduction: The rapid development of human scientific endeavor has enabled the implementation of increasingly automated systems that facilitate certain functions and processes in all spheres of life. Objective: To describe the application of artificial intelligence in education as a strategy to ensure digital inclusion. Method: A comprehensive literature review was conducted. The search was conducted in: SCielo, PubMed, and SCOPUS, repositories, and the Google Scholar search engine. The search strategy consisted of descriptors. 32 papers were used to develop this article. Development: AI provides significant tools, from the graphic representation of content in educational contexts to the creation of conceptual maps and the development of tests to validate acquired knowledge. However, its use must be urgent without losing the guiding and methodological thread, always recognizing that the goal is the acquisition of knowledge. Universities require projection at different scales to present their results for the sake of sociocultural and academic scientific development. With the implementation of AI, this outreach function can be fulfilled, guaranteeing direct and personalized access and promoting digital inclusion. Conclusions: The use of AI in educational subjects offers new platforms and work scenarios. Each of its capabilities adapts to the specifics of the educational environment, while also enhancing easy, affordable, and universal access to educational content. Journal: EthAIca Pages: 110 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025110 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:110:id:110 Template-Type: ReDIF-Article 1.0 Author-Name: Jorge Leodan Cabrera Olvera Author-Name-First: Jorge Leodan Author-Name-Last: Cabrera Olvera Author-Name: Gema Victoria Pinargote Zambrano Author-Name-First: Gema Victoria Author-Name-Last: Pinargote Zambrano Author-Name: Silvia Gabriela Villaprado Vélez Author-Name-First: Silvia Gabriela Author-Name-Last: Villaprado Vélez Author-Name: Landy María Carreño Navia Author-Name-First: Landy María Author-Name-Last: Carreño Navia Author-Name: Franklin Antonio Vite Solorzano Author-Name-First: Franklin Antonio Author-Name-Last: Vite Solorzano Title: Artificial intelligence-mediated surgical center management: limitations, application, and opportunities Abstract: Introduction: The technological revolution is currently transforming healthcare services. Therefore, we set out to analyze how the application of artificial intelligence improves management processes in surgical centers, as well as the limitations and opportunities of its incorporation into healthcare services. Methods: A literature review study was conducted to comprehensively analyze articles obtained from indexed databases such as SCOPUS, PUBMED, Scielo, and Latindex, using a combination of Boolean operators (AND and OR) with keywords in Spanish, English, and Portuguese. which was classified and organized in an Excel matrix for analysis according to the CASPe rubric guidelines, which facilitated the assessment of their scientific and academic quality. Results: The healthcare system faces several challenges that hinder the incorporation of new technologies into its administrative, care, teaching, and research processes, considering investment, ethical dilemmas, lack of digital skills, and economic investment. However, their integration shows opportunities in terms of resource optimization, decision-making, lower margin of error in surgical interventions, and continuous postoperative follow-up. Conclusions: Technological transformation enables effective management with the incorporation of artificial intelligence, which improves administrative and care processes in surgical centers. However, its use presents challenges in terms of the ethical, training, and operational gaps in AI, considering the variety of types available in the technology market, which requires more scientific evidence on the impact of these technologies on healthcare systems, professionals, families, and patients. Journal: EthAIca Pages: 201 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025201 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:201:id:201 Template-Type: ReDIF-Article 1.0 Author-Name: Diana Marley Sanabria Mora Author-Name-First: Diana Marley Author-Name-Last: Sanabria Mora Author-Name: Jorge Leodan Cabrera Olvera Author-Name-First: Jorge Leodan Author-Name-Last: Cabrera Olvera Author-Name: Deysi Johana Sanabria Mora Author-Name-First: Deysi Johana Author-Name-Last: Sanabria Mora Title: Artificial intelligence in health care management: ethical challenges, benefits and opportunities Abstract: Introduction: artificial intelligence is transforming healthcare management by improving the efficiency and personalization of care. Therefore, the objective was to describe how artificial intelligence is integrated into healthcare management, as well as the ethical challenges that exist in its application and the administrative opportunities it offers. Method: a qualitative, descriptive and literature review type study, 30 articles were analyzed, selected by convenience sampling according to the fulfillment of eligibility criteria. The information was obtained from scientific databases such as SCOPUS, SCIELO, and PUBMED, and was organized in an Excel matrix for subsequent evaluation using the CASPe method. Development: Artificial intelligence in healthcare offers benefits such as efficiency, personalization of care and improved diagnoses. However, it faces ethical challenges such as privacy, lack of regulation and risk of dehumanization. Its implementation requires investment, a clear legal framework and an ethical approach. Conclusion: t optimizes the management of health services through data analysis and medical decision support, although its adoption presents challenges such as the absence of regulations, high costs, unequal access and ethical concerns. Therefore, it is essential to develop regulations and protocols that guarantee a fair and responsible use in its application in the quality of care. Keywords: Health management; Artificial intelligence; Health services. Journal: EthAIca Pages: 372 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025372 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:372:id:372 Template-Type: ReDIF-Article 1.0 Author-Name: Ana Alexandra Durán Pinta Author-Name-First: Ana Alexandra Author-Name-Last: Durán Pinta Author-Name: Jorge Leodan Cabrera Olvera Author-Name-First: Jorge Leodan Author-Name-Last: Cabrera Olvera Author-Name: Fabricio Fernando Rodríguez Robles Author-Name-First: Fabricio Fernando Author-Name-Last: Rodríguez Robles Title: Artificial Intelligence in health Education: Opportunities, Ethical Constraints and Pedagogical Challenges Abstract: Introduction: artificial intelligence (AI) has great potential to transform healthcare and health education. Therefore, we set out to analyze the scientific evidence on the implementation of artificial intelligence in the training of healthcare professionals, considering the ethical limitations of its application and opportunities for competence development. Method: the research had a qualitative approach, with a descriptive design and a literature review. Eighty-six articles were analyzed, obtained from indexed databases such as Scopus, Web of Science, Redalyc, and Scielo, using keywords in English, Portuguese, and Spanish. The information was organized in an Excel matrix for analysis through critical reading using the CASPe method to evaluate the scientific quality of the studies. Results: the implementation of AI in health education improves personalized learning, clinical simulations, and decision-making through data analysis. However, its use carries risks such as the dehumanization of the training process and excessive dependence on technology. Therefore, it is necessary to train teachers and establish ethical limits that ensure a balance between innovation and critical thinking. Conclusión: artificial intelligence is revolutionizing health education by improving learning and clinical skills. However, it poses ethical challenges that require regulation and responsible use. Its successful integration requires balancing technology and the inclusion of human values. Journal: EthAIca Pages: 269 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025269 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:269:id:269 Template-Type: ReDIF-Article 1.0 Author-Name: Pooja Gurnal Author-Name-First: Pooja Author-Name-Last: Gurnal Author-Name: Lokesh Rana Author-Name-First: Lokesh Author-Name-Last: Rana Title: AI in Anesthesia: Enhancing Safety Through Ethical Integration and Human Supervision -A Narrative Review Abstract: Introduction: Anesthesia has evolved from enormously from mysterious sleep to intelligent, personalized care and as Artificial intelligence (AI) has led to transformation of healthcare, its applications in anesthesia too has proven of late that how technology and human compassion working together can be smoother, personalized, safer and precise surgical journeys for patients. The AI is field of computer science which use various algorithms and computational resources enabling the machines to simulate human intelligence in its thought process and actions. This revolutionary technology is changing the traditional anesthesia practices of patient risk stratification, anesthesia delivery system, patient peri-operative monitoring, individualized anesthesia plans and image analysis by an automated process. However, the application of AI in anesthesia comes with its own unique limitations of limited data and its quality, lack of guidelines for ethical use, legal concerns and socioeconomic concerns. Therefore, in this review we searched human in loop approach of the hybrid models, as the future of anesthesia will likely to be shaped by a combination of artificial intelligence and human expertise rather than one replacing other. Methods: We searched PubMed, google scholar and Cochrane database search 2019-2024. The evaluation of the retrieved articles was done for effectiveness as well as limitations of AI and deep learning in the field of anesthesia. Results: The AI will enhance precision, safety and efficiency but human touch of anesthesiologist and ethical use of it will remain essential for decision making, handling complications and providing personalized empathic care. Nonetheless, its effectiveness is influenced by data quality, algorithm generalizability and the absence of standardized ethical frameworks. Conclusion: The future of anaesthesia will likely combine AI’s analytical power with anaesthetist’s expertise, ethical judgement and empathy. While AI can improve outcomes and efficiency, the human touch remains essential for decision making, complication management and personalised care. Journal: EthAIca Pages: 414 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025414 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:414:id:414 Template-Type: ReDIF-Article 1.0 Author-Name: Fredrick Kayusi Author-Name-First: Fredrick Author-Name-Last: Kayusi Author-Name: Petros Chavula Author-Name-First: Petros Author-Name-Last: Chavula Title: A comprehensive exploration of nongeostationary satellite systems in the mining industry: emphasizing AI , ethical considerations, and communication strategies Abstract: Non-geostationary satellite (NGSO) constellations—particularly LEO/MEO—are transforming mining by providing low-latency connectivity and taskable Earth observation to remote, infrastructure-poor sites. Objectives include mapping NGSO applications across exploration, planning, and operations; assessing AI's role in tasking, routing, and analytics; and examining governance and ESG implications, with a focus on Africa and East Africa. Methods involved a PRISMA-aligned systematic review (protocol registered) synthesising primary and secondary evidence on NGSO-enabled EO and communications in mining. A random-effects meta-analysis was planned if three or more comparable studies reported the same outcome; otherwise, a structured narrative synthesis with predefined subgroups (LEO vs MEO, EO vs backhaul, open-pit vs underground, Africa vs elsewhere) was used. Results and discussion showed that across more than 30 use cases, NGSO backhaul and EO tasking consistently reduced time to insight for pit progression, tailings surveillance, and asset tracking; simulations indicated routing improvements of approximately 10% on tree topologies and 30% on mesh networks at N=500, demonstrating tangible latency and capacity benefits for safety-critical workflows. Continuity was enhanced through multi-sensor PNT (GNSS/inertial/vision plus radio localisation ) and hierarchical link adaptation that rapidly re- parameterises under noise, weather, or interference. AI added value by improving tasking and congestion control in edge and cloud inference, though it required cascaded models, compression, and uncertainty gating to meet compute and bandwidth constraints. Governance themes—such as data protection, transparency, and community benefit—were recurring enablers of adoption. Conclusion: When combined with resilient positioning, adaptive operations, and credible ESG safeguards, NGSO combined with AI can significantly enhance mining efficiency, safety, and sustainability; priorities include standardised KPIs, transparent cost models, and long-term pilot deployments. Journal: EthAIca Pages: 408 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025408 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:408:id:408 Template-Type: ReDIF-Article 1.0 Author-Name: Rubén González Vallejo Author-Name-First: Rubén Author-Name-Last: González Vallejo Title: Thinking about artificial intelligence from an ethical, critical and socially committed point of view Abstract: Artificial intelligence has redefined technology and its implications across different levels of society, accelerating the pace of information dissemination. This gives rise to two dimensions: the first refers to the (lack of) control over the flow of information, shaped by specific responses that generative technologies offer to users in a contextualized and supposedly reliable manner; the second concerns the sense of technological omnipresence imposed on the user. All of this stems from a development that has prioritized the technical over the ethical component. Therefore, we present EthAIca: Journal of Ethics, AI and Critical Analysis, offering a critical and interdisciplinary perspective that addresses and makes visible the system’s asymmetries and promotes socially committed and global solutions. Journal: EthAIca Pages: 150 Volume: 4 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2025150 Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:150:id:150 Template-Type: ReDIF-Article 1.0 Author-Name: Diego D. Díaz-Guerra Author-Name-First: Diego D. Author-Name-Last: Díaz-Guerra Author-Name: Marena de la C. Hernández-Lugo Author-Name-First: Marena de la C. Author-Name-Last: Hernández-Lugo Author-Name: Evelyn Fernández Castillo Author-Name-First: Evelyn Author-Name-Last: Fernández Castillo Author-Name: Lianny Sánchez López Author-Name-First: Lianny Author-Name-Last: Sánchez López Title: AI-Based Digital Academic Monitors: Innovation for Enhancing Teaching in Higher Education Abstract: Higher education faces challenges such as overcrowded classrooms and diverse learning styles, which have driven the development of digital academic monitors based on artificial intelligence (AI). These systems aim to personalize teaching, optimize instructors' time, and strengthen students' executive functions. The objective of this research was to analyze the impact of AI-based academic monitors in higher education, focusing on their ability to improve educational quality and develop cognitive skills. A systematic bibliometric analysis (2018–2023) was conducted using VOSviewer, evaluating 60 publications across three dimensions: learning personalization, teaching optimization, and executive function development. The study identified exponential growth in research since 2021, with prominent contributions in fields such as computer science and psychology. The monitors proved effective in adapting content (e.g., platforms like ALEKS), automating administrative tasks (e.g., Moodle chatbots), and enhancing metacognitive skills (self-regulation and planning). However, ethical and privacy challenges remain. AI monitors represent a transformative innovation, but their success depends on balancing technology with human oversight, ensuring inclusivity, and training educators in their strategic use. Journal: EthAIca Pages: 376 Volume: 5 Issue: Year: 2025 Subtitle : DOI: 10.56294/ai2026376 Handle: RePEc:dbk:ethaic:v:5:y:2025:i::p:376:id:376 Template-Type: ReDIF-Article 1.0 Author-Name: Marynes Quiroz Márquez Author-Name-First: Marynes Author-Name-Last: Quiroz Márquez Author-Name: Evelin Escalona Author-Name-First: Evelin Author-Name-Last: Escalona Author-Name: Misael Ron Author-Name-First: Misael Author-Name-Last: Ron Title: Notes on the Governance, Regulation, and Public Policy of Artificial Intelligence Abstract: Artificial intelligence (AI) is reshaping economic, social, and political systems at an unprecedented pace, generating transformative opportunities alongside ethical, legal, and geopolitical risks. This article explores key international trends in AI governance and regulation, emphasizing multilevel approaches that integrate local, national, and global dimensions. Through an analysis of hard and soft law frameworks, public–private cooperation initiatives, and institutional developments across Europe, North America, Asia-Pacific, and Latin America, the study identifies critical factors for effective governance: shared ethical principles, adaptive regulatory structures, and accountability mechanisms. It concludes that AI governance must transcend risk mitigation and serve as a guiding compass for democratic, inclusive, and sustainable digital transformation. Journal: EthAIca Pages: 404 Volume: 5 Issue: Year: 2026 Subtitle : DOI: 10.56294/ai2026404 Handle: RePEc:dbk:ethaic:v:5:y:2026:i::p:404:id:404 Template-Type: ReDIF-Article 1.0 Author-Name: Sarita Peddi Author-Name-First: Sarita Author-Name-Last: Peddi Author-Name: Geetha Manoharan Author-Name-First: Geetha Author-Name-Last: Manoharan Title: Ethical Guidelines for the thoughtful Implementation of AI in Higher Education Abstract: As artificial intelligence (AI) integrates into education systems, concerns regarding its ethics become magnified. This chapter addresses the need for ethical frameworks on AI applications regarding the basic values of education: equity, transparency, and accountability. With rapid AI expansion in teaching and learning, systemic bias, student privacy, and stakeholder responsibilities emerge as burning issues. Journal: EthAIca Pages: 409 Volume: 5 Issue: Year: 2026 Subtitle : DOI: 10.56294/ai2026409 Handle: RePEc:dbk:ethaic:v:5:y:2026:i::p:409:id:409 Template-Type: ReDIF-Article 1.0 Author-Name: Themis Karim Ocampo Gamboa Author-Name-First: Themis Karim Author-Name-Last: Ocampo Gamboa Author-Name: Jhossmar Cristians Auza-Santivañez Author-Name-First: Jhossmar Cristians Author-Name-Last: Auza-Santivañez Author-Name: Estefannie Eunice Valverde Fernández Author-Name-First: Estefannie Eunice Author-Name-Last: Valverde Fernández Author-Name: Freddy Ednildon Bautista-Vanegas Author-Name-First: Freddy Ednildon Author-Name-Last: Bautista-Vanegas Author-Name: Blas Apaza-Huanca Author-Name-First: Blas Author-Name-Last: Apaza-Huanca Author-Name: Ingrid Neysa Cabezas-Soliz Author-Name-First: Ingrid Neysa Author-Name-Last: Cabezas-Soliz Author-Name: Jose Luis Diaz-Guerrero Author-Name-First: Jose Luis Author-Name-Last: Diaz-Guerrero Author-Name: Ruben Marco Antonio Soliz-Mendoza Author-Name-First: Ruben Marco Antonio Author-Name-Last: Soliz-Mendoza Title: Application of artificial intelligence in the field of legal and forensic medicine: advances and future challenges Abstract: Introduction: Artificial intelligence (AI) has emerged as a profoundly transformative tool in numerous fields of knowledge, and its application in legal and forensic medicine is opening a new chapter in forensic science. The development of the “JL-IDIF” system by the Forensic Research Institute (IDIF) has been recognized as an innovative step, setting precedents for the use of advanced technology for the recording and analysis of forensic data. AI represents an unprecedented opportunity to transform legal and forensic medicine, making these processes faster, more efficient, and more accurate. Methodology. An information search was conducted from January to May 2025. Information was collected from scientific articles, books, technical reports, and publications in specialized media, using databases such as PubMed, Scopus, Google Scholar, and websites of forensic and government institutions. This approach allowed for a comprehensive and well-founded synthesis of the available information. Conclusions. The emergence of artificial intelligence (AI) has transformed multiple areas of medicine, and its incursion into forensic and legal medicine marks the beginning of a new era in forensic practice. This review has shown that, while technological advances have demonstrated great potential, significant limitations remain related to data quality, the need for external validation, and the availability of adequate technological infrastructure. In Bolivia, initiatives such as the JL-IDIF project or the experimental implementation of generative AI models demonstrate the interest and initial capacity to explore these emerging technologies. AI should not be viewed as a substitute for human judgment, but rather as a powerful tool that enhances the work of experts, allowing them to focus on critical interpretation and decision-making. Journal: EthAIca Pages: 397 Volume: 5 Issue: Year: 2026 Subtitle : DOI: 10.56294/ai2026397 Handle: RePEc:dbk:ethaic:v:5:y:2026:i::p:397:id:397