R0058/2026-04-03/C001/S02/R03¶
Independent bibliometric analysis of AI ethics research.
Summary¶
| Field | Value |
|---|---|
| Title | AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps |
| URL | https://arxiv.org/abs/2403.14681 |
| Date accessed | 2026-04-03 |
| Publication date | 2024-03-12 |
| Author(s) | Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jiming Wu, Jingdao Chen |
| Publication | International Journal of Business Analytics, 2024, 11(1) |
Selection Decision¶
Included in evidence base: No
Rationale: While this is an independent bibliometric analysis of AI ethics, it focuses on the temporal evolution of AI ethics as a field (three phases) rather than the safety-ethics community divide specifically. It does not provide data on homophily or cross-community collaboration that would support or contradict the claim. Low relevance to the specific assertion being tested.