Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/2739
Title: Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4)
Other Titles: Reflexiones sobre la ética, potencialidades y retos de la Inteligencia Artificial en el marco de la Educación de Calidad (ODS4)
Authors: Flores-Vivar, J. M.
García-Peñalvo, F. J.
Keywords: Digital literacy
education
teacher training
artificial intelligence
ethics
Internet
Issue Date: 1-Jan-2023
Citation: Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4). Comunicar, 31(74). https://doi.org/10.3916/C74-2023-03
Abstract: This article analyses and reflects on the ethical aspects of using artificial intelligence (AI) systems in educational contexts. On the one hand, the impact of AI in the field of education is addressed from the perspective of the Sustainable Development Goals (specifically, SDG4) of the UNESCO 2030 Agenda, describing the opportunities for its use by teachers and students. On the other hand, there is an emphasis on the uncertainties caused by the fears of some who think, for example, that AI robots will replace human teachers. The methodology used is based on a documentary review, supported by reports and studies conducted by researchers as well as institutions and organizations committed to the development of AI and its capacity for action in the educational field, and the ethical questions that experts and organizations around the world are raising. The results seek to influence and deepen the ethical implications that AI can have in the educational field. Finally, some critical questions about the ethics and challenges of AI in education are proposed, concluding with the need to add proposals with new research and political actions which could lead to the creation of an ethical observatory of AI for education.
URI: http://repositorio.grial.eu/handle/grial/2739
ISSN: 1988-3293
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