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Cienciamatria. Revista Interdisciplinaria de Humanidades, Educación, Ciencia y Tecnología
versão impressa ISSN 2542-3029versão On-line ISSN 2610-802X
Resumo
DUQUE-RODRIGUEZ, Jennifer Andreina; PINA-FERRER, Lenys Senovia e ISEA-ARGUELLES, Josía Jeseff. Ethical dimensions of artificial intelligence in education. Cienciamatria [online]. 2025, vol.11, n.20, pp.27-45. Epub 25-Abr-2025. ISSN 2542-3029. https://doi.org/10.35381/cm.v11i20.1522.
The purpose of this article was to analyze the benefits and possible improvements of the ethical dimensions of artificial intelligence in education. Methodologically, the guidelines of documentary research and the use of the analytical method were followed. As a result, an adaptation of the Deloitte (2024) proposal was obtained, organized as follows: TDS dimension (Technology, Data and Security), GRS dimension (Governance, Risk, and Complianceg), PSM dimension (People, Skills, Organizational and Educational Models) and PF dimension (Public Policies, Legal Frameworks and Social Impact). In conclusion, the need to rethink and reflect on the importance of studying the ethical sense of incorporating AI in education was highlighted, considering innovative educational methodologies that would find support from public policies to promote accountability and transparency in AI systems.
Palavras-chave : Artificial intelligence; ethical dimensions; artificial intelligence in education.












