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Cited by 379Ethics and Social Impacts of AIArtificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index, and 1 are not checked yet.

Human-centered artificial intelligence in education: Seeing the invisible through the visible

Open access
Yang, Stephen J.H., Ogata, Hiroaki, Matsui, Tatsunori, Chen, Nian-Shing·2021·Computers and Education: Artificial Intelligence
DOI 10.1016/j.caeai.2021.100008
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Abstract

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.

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  1. Yang, 2019, Precision education: new challenges for AI in education [conference keynote]

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Metadata

Authors
Yang, S. J. H., Ogata, H., Matsui, T., & Chen, N.-S.
Affiliations
  • National Central University (TW)
  • Kyoto University (JP)
  • Waseda University (JP)
  • National Yunlin University of Science and Technology (TW)
Corresponding author
Yang, Stephen J.H.
ORCID
Venue
Computers and Education: Artificial Intelligence
Publisher
Elsevier BV
Published
2021
Volume
2
Pages
100008
ISSN
2666-920X (ISSN-L)
DOI
10.1016/j.caeai.2021.100008
OpenAlex
W3123649662
Cited by
379
References
32
Citations by year
2026: 41 · 2025: 93 · 2024: 113 · 2023: 66 · 2022: 42 · 2021: 24
FWCI
76.58
Type
journal article
Language
en
Open access
Licence
Locations
  • Computers and Education Artificial Intelligence (publishedVersion, cc-by-nc-nd)
  • Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Kyoto University Research Information Repository (Kyoto University) (submittedVersion, cc-by-nc-nd)
Funders
Ministry of Science and Technology, Taiwan
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Education › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
human-centered AI, artificial intelligence in education, AI evaluation, algorithmic bias, AI governance, human rights, inequality, human welfare

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