EthAIca (Journal)
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Professionalization and Artificial Intelligence in Family Businesses
Get PDFThe 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
Artificial intelligence and digital sex crimes: an emerging threat to children
Get PDFThe 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
The use of artificial intelligence in digital journalism and its influence on university student training
Get PDFThis 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.
Training in the Field of Artificial Intelligence: Challenges and Opportunities in Health Science Education
Get PDFIntroduction: 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
Mobile app for planning and tracking healthy eating habits with artificial intelligence and augmented reality
Get PDFStaying 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
The impact of artificial intelligence on prostate cancer diagnosis through magnetic resonance imaging
Get PDFThe study examines the impact of artificial intelligence (AI) on the diagnosis of prostate cancer using magnetic resonance imaging (MRI), emphasizing its ability to overcome the limitations of traditional methods. Through a systematic review based on the PRISMA guidelines, 20 recent studies (2023-2024) employing advanced techniques such as convolutional neural networks, deep learning, and computer-aided detection systems were evaluated. Findings revealed that AI significantly enhances diagnostic accuracy, achieving areas under the curve (AUC) of up to 0.997, 99.5% sensitivity, and 99% specificity, while reducing interobserver variability and the need for invasive procedures. Additionally, limitations related to the required technological infrastructure and algorithm transparency were identified. The study concludes that AI is an essential tool in modern diagnosis, complementing traditional methods and improving the precision and efficiency of prostate cancer detection
Innovative learning models at the Santa Ana Institute. ‘Implementation of Sendsteps.ai artificial intelligence, where he developed innovative educational practices
Get PDFThe 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\u27s 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\u27s 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
Prototyping and Validation of a Low-Code Platform for Dynamic Code Generation in Microservices
Get PDFIntroduction: 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
Training in the Field of Artificial Intelligence: Challenges and Opportunities in Health Science Education
Get PDFIntroduction: 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
Child Sexual Abuse Material facilitated by Artificial Intelligence
Get PDFThe 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