The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Human-Centered AI: A New Synthesis
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“The domain of Human-centered AI HCAI calls to actively involve people in AI design to ensure systems better reflect the values, preferences and needs of users, and other impacted stakeholders (e.g., [4, 8, 16, 99, 101, 104, 110]).”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [101]
Citations
Cites
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
Shneiderman, B. (2020) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1741118 · Cited by 1,743
Self-citationShneiderman, B. (2022) · doi:10.1093/oso/9780192845290.001.0001 · Cited by 1,185
Self-citationShneiderman, B. (2020) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3419764 · Cited by 768
Self-citationDesign Lessons From AI’s Two Grand Goals: Human Emulation and Useful Applications
Shneiderman, B. (2020) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2020.2992669 · Cited by 128
Self-citationThe dangers of faulty, biased, or malicious algorithms requires independent oversight
Shneiderman, B. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1618211113 · Cited by 73
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Cited by
Sorted by citations
Understanding Human-Centred AI: a review of its defining elements and a research agenda
Schmager, S., Pappas, I. O., & Vassilakopoulou, P. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2448719 · Cited by 215
A Situation Awareness Perspective on Human-AI Interaction: Tensions and Opportunities
Jiang, J., Karran, A. J., Coursaris, C. K., Léger, P., & Beringer, J. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2093863 · Cited by 140
Guo, Y., Liu, L., Huang, W., Shen, M., Yi, X., Zhang, J., & Lu, S. (2024) · Heritage Science · doi:10.1186/s40494-024-01363-6 · Cited by 34
Vishwarupe, V., Maheshwari, S., Deshmukh, A., Mhaisalkar, S., Joshi, P. M., & Mathias, N. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.08.111 · Cited by 28
Toward More Human-Like AI Communication: A Review of Emergent Communication Research
Brandizzi, N. (2023) · IEEE Access · doi:10.1109/access.2023.3339656 · Cited by 23
Metadata
- Authors
- Shneiderman, B.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Shneiderman, Ben
- ORCID
- Shneiderman, Ben
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2021
- Volume
- LNCS-12932
- Issue
- Part I
- Pages
- 3-8
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3194504147
- Cited by
- 27
- References
- 5
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 8 · 2023: 1 · 2022: 2
- FWCI
- 2.49
- Type
- conference paper
- Language
- en
- Open access
- green
- inria.hal.science
- Locations
- Lecture notes in computer science (publishedVersion)
- HAL (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- human-centered AI, human-centered design, AI ethics, basic needs, AI product design, sustainable communities, environmental restoration, human-AI collaboration
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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