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タイトル: Human-centered artificial intelligence in education: Seeing the invisible through the visible
著者: Yang, Stephen J.H.
Ogata, Hiroaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5216-1576 (unconfirmed)
Matsui, Tatsunori
Chen, Nian-Shing
著者名の別形: 緒方, 広明
キーワード: Human-centered AI
Sustainable AI
Explainable AI
Interpretable ML
Smart learning
発行日: 2021
出版者: Elsevier BV
誌名: Computers and Education: Artificial Intelligence
巻: 2
論文番号: 100008
抄録: The inevitable rise and development of artificial intelligence (AI) was not a sudden occurrence. The greater the effect that AI has on humans, the more pressing the need is for us to understand it. This paper addresses research on the use of AI to evaluate new design methods and tools that can be leveraged to advance AI research, education, policy, and practice to improve the human condition. AI has the potential to educate, train, and improve the performance of humans, making them better at their tasks and activities. The use of AI can enhance human welfare in numerous respects, such as through improving the productivity of food, health, water, education, and energy services. However, the misuse of AI due to algorithm bias and a lack of governance could inhibit human rights and result in employment, gender, and racial inequality. We envision that AI can evolve into human-centered AI (HAI), which refers to approaching AI from a human perspective by considering human conditions and contexts. Most current discussions on AI technology focus on how AI can enable human performance. However, we explore AI can also inhibit the human condition and advocate for an in-depth dialog between technology- and humanity-based researchers to improve understanding of HAI from various perspectives.
著作権等: © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
URI: http://hdl.handle.net/2433/261148
DOI(出版社版): 10.1016/j.caeai.2021.100008
出現コレクション:学術雑誌掲載論文等

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