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R0058/2026-04-03/C001/S04

Research R0058 — Candidate evidence test
Run 2026-04-03
Claim C001
Search S04

WebSearch + WebFetch — Independent bibliometric studies of AI ethics/safety community structure

Summary

Field Value
Source/Database WebSearch + WebFetch
Query terms "AI ethics" "AI safety" co-authorship network bibliometric separate communities silos
Filters None
Results returned 10
Results selected 2
Results rejected 8

Selected Results

Result Title URL Rationale
S04-R01 Charting the Landscape of AI Ethics: A Bibliometric Analysis https://www.degruyterbrill.com/document/doi/10.1515/ijdlg-2025-0007/html Independent bibliometric study with collaboration network data (94% connected component)
S04-R02 Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles https://arxiv.org/html/2510.21293v2 Scoping review of ethics-focused venues with findings on safety underrepresentation

Rejected Results

Result Title URL Rationale
S04-R03 Mind the Gap! (arXiv HTML) https://arxiv.org/html/2512.10058 Already captured as S01-R01
S04-R04 Mind the Gap! (arXiv abs) https://arxiv.org/abs/2512.10058 Already captured as S02-R01
S04-R05 Ethics and privacy of AI (ResearchGate) https://www.researchgate.net/publication/350582963_Ethics_and_privacy_of_artificial_intelligence_Understandings_from_bibliometrics Privacy focus, not safety-ethics divide
S04-R06 Ethics and privacy of AI (ScienceDirect) https://www.sciencedirect.com/science/article/abs/pii/S0950705121002574 Privacy focus, not safety-ethics divide
S04-R07 Ethical Considerations in the Age of AI (West Science) https://wsj.westsciences.com/index.php/wsshs/article/view/191 General overview, no community structure analysis
S04-R08 AI ethics in ophthalmology (Nature) https://www.nature.com/articles/s41746-025-01976-6 Domain-specific, not relevant
S04-R09 Authorship and AI tools (COPE) https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools About AI authorship ethics, not community structure
S04-R10 Ethics of AI (UNESCO) https://www.unesco.org/en/artificial-intelligence/recommendation-ethics Policy recommendation, not bibliometric analysis

Notes

Two independent bibliometric studies were found that provide indirect evidence. Neither directly replicates the Roytburg & Miller homophily measurement, but both provide contextual data about AI ethics research community structure.