Ethics, Artificial Intelligence and Educational Research: A Vital Triangle for the Future of Education
Ética, Inteligencia Artificial e Investigación Educativa: Un Triángulo Vital para el Futuro de la Educación
DOI:
https://doi.org/10.29394/Scientific.issn.2542-2987.2024.9.E4.0.10-19Keywords:
artificial intelligence ethics, educational technology, educational research, teaching innovation, data protectionAbstract
The intersection of ethics, Artificial Intelligence (AI), and education presents significant challenges and opportunities arising from their integration in educational environments. Research highlights the fundamental need for a robust ethical framework, considering multiple perspectives that warn about the risks of learning analytics and concerns about student data privacy. The potential danger of technology widening existing educational gaps is analyzed, along with evidence suggesting benefits in learning personalization and effectiveness. The analysis incorporates diverse academic positions that address both the promises and risks of AI in education, from technological, ethical, and pedagogical perspectives. The conclusions emphasize the need for a collaborative approach among educators, developers, and policymakers to develop ethical frameworks that ensure responsible implementation, pointing out critical areas for future research in impact assessment and strategies for equitable implementation.
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Bolaño-García, M., & Duarte-Acosta, N. (2024). Una revisión sistemática del uso de la inteligencia artificial en la educación. Revista Colombiana de Cirugía, 39(1), 51-63, e-ISSN: 2619-6107. Recuperado de: https://doi.org/10.30944/20117582.2365
Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In Frankish. K., & Ramsey W, (eds.). The Cambridge Handbook of Artificial Intelligence. (pp. 316-334). Inglaterra: Cambridge University Press.
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Buckingham, S., … Koedinger, K. (2022). Ethics of AI in Education: Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32, 504-526. Retrieved from: https://doi.org/10.1007/s40593-021-00239-1
Miao, F., & Holmes, W. (2024). Guía para el uso de IA generativa en educación e investigación. ISBN: 978-92-3-300221-0. Francia: UNESCO.
OCDE (2019). Boletín No 30. Boletín Informativo. Ecuador: Organización para la Cooperación y Desarrollo Económico.
Selwyn, N. (2019). What's the problem with learning analytics?. Journal of Learning Analytics, 6(3), 11-19, e-ISSN: 1929-7750. Retrieved from: https://doi.org/10.18608/jla.2019.63.3
Solove, D. (2013). Nothing to hide: The false tradeoff between privacy and security. ISBN: 978-0300172331. United States: Yale University Press.
UNESCO (2023). La escuela en la era de la inteligencia artificial. e-ISSN: 2220-2315. Francia: Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura.
Warschauer, M. (2011). Learning in the Cloud: How (and Why) to Transform Schools with Digital Media. ISBN: 978-0807752494. United States: Teachers College Press.
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