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Ethics of AI in Education: Towards a Community-Wide Framework | International Journal of Artificial Intelligence in Education

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While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more general level, there is also a need to differentiate between doing ethical things and doing things ethically, to understand and to make pedagogical choices that are ethical, and to account for the ever-present possibility of unintended consequences. However, addressing these and related questions is far from trivial. As a first step towards addressing this critical gap, we invited 60 of the AIED community’s leading researchers to respond to a survey of questions about ethics and the application of AI in educational contexts. In this paper, we first introduce issues around the ethics of AI in education. Next, we summarise th

Ethics of AI in Education: Towards a Community-Wide Framework ARTICLE Open access Published: 09 April 2021 Volume 32 , pages 504–526 ( 2022 ) Cite this article You have full access to this open access article Download PDF Save article View saved research International Journal of Artificial Intelligence in Education Aims and scope Ethics of AI in Education: Towards a Community-Wide Framework Download PDF Abstract While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions

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