Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4)

 Jesús-Miguel Flores-Vivar, Madrid (Spain)

 Francisco-José García-Peñalvo, Salamanca (Spain)

https://doi.org/10.3916/C74-2023-03

Keywords

Digital literacy, education, teacher training, artificial intelligence, ethics, Internet

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.

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Fundref

We acknowledge the funding of UCM Groups 2021-22 (Internet MediaLab Ref. 970620), UCM’s own Research Support Program of the Vice-Rectorate for Research and Transfer, and AVisSA Project (PID2020-118345RB-I00) by the Ministry of Science and Innovation of the Government of Spain.

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Technical information

Received: 30-05-2022

Revised: 28-06-2022

Accepted: 13-07-2022

OnlineFirst: 30-10-2022

Publication date: 01-01-2023

Article revision time: 29 days | Average time revision issue 74: 40 days

Article acceptance time: 44 days | Average time of acceptance issue 74: 69 days

Preprint editing time: 171 days | Average editing time preprint issue 74: 194 days

Article editing time: 216 days | Average editing time issue 74: 239 days

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