The Chinese Approach to Artificial Intelligence: An Analysis of Policy, Ethics, and Regulation
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
China's AI strategy seeks to embed ethical principles such as harmony and friendliness into AI governance frameworks and presents AI as a transformative tool for economic growth, administrative efficiency, and the revival of the Chinese civilization.
“The strategy seeks to embed ethical principles such as harmony and friendliness into AI governance frameworks and presents AI as a transformative tool for economic growth, administrative efficiency, and the revival of the Chinese civilization (Roberts et al. 2021;Hine and Floridi 2024).”
From Accountability in Government Use of <scp>AI</scp> : Citizen Concerns and Preferences (2025) · cites this paper as Roberts et al. 2021
Cites
A Unified Framework of Five Principles for AI in Society
Floridi, L., & Cowls, J. (2019) · Harvard Data Science Review · doi:10.1162/99608f92.8cd550d1 · Cited by 1,631 · see citing works
Self-citationChina’s social credit systems and public opinion: Explaining high levels of approval
Kostka, G. (2019) · New Media & Society · doi:10.1177/1461444819826402 · Cited by 316 · see citing works
Big data and medical research in China
Zhang, L., Wang, H., Li, Q., Zhao, M.-H., & Zhan, Q.-M. (2018) · BMJ · doi:10.1136/bmj.j5910 · Cited by 148 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Accountability in Government Use of <scp>AI</scp> : Citizen Concerns and Preferences
Feng, N., & Chandra, Y. (2025) · Public Administration · doi:10.1111/padm.70030 · Cited by 18 · see citing works
- Authors
- Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V., & Floridi, L.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Floridi, Luciano
- Venue
- Philosophical Studies Series
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 47-79
- ISSN
- 0921-8599 (ISSN-L)
- 2542-8349
- OpenAlex
- W4253366372
- Cited by
- 170
- References
- 3
- Citations by year
- 2026: 23 · 2025: 33 · 2024: 37 · 2023: 36 · 2022: 8 · 2021: 32 · 2020: 1
- FWCI
- 117.79
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Philosophical studies series (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- AI policy, AI ethics, AI regulation, China, sociopolitical context, AI governance, policy debate
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
