Résumé :
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Although studied since the 2000s, the issues raised by artificial intelligence (AI) systems in education are currently receiving increasing attention in the scientific literature. However, obtaining a comprehensive overview is challenging due to researchers approaching them through diverse educational contexts, computational techniques, and heterogeneous analytical perspectives. Therefore, the objective of this study was to conduct a systematic review of the literature on the ethical and critical issues of AI systems in education to gain a better picture of them. An analysis of 58 scientific documents led us to identify 70 ethical and critical issues of AI systems in education, which were organized under 6 tensions: complexity of educational situations vs. technical standardization; agentivity of educational actors vs. technical automation; educational justice vs. technical rationality; school governance vs. technical design; need for intelligibility of educational actors vs. technical opacity; and dignity of educational actors vs. exploitation of data.
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