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Public source attached
Source status for this paper in the current AISci reviewed snapshot.
- Primary source
- OpenAlex indexed source
- Correction status
- none
- Evidence coverage
- 1 sources / 1 publishers
- Last metadata check
- Jul 19, 2026
paperAI
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
Source-permitted summary
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
SourceOpenAlex indexed sourceAI Reading Notes
Core signal
Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.
- Core signal
- Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
- Field context
- AI Safety and Evaluations
- People and labs
- Not stated in the reviewed source.
- Why it matters
- Recent source-backed research output for AISci Stage A browsing.
- Limits to check
- AISci rank score does not assess scientific quality or citation impact.
Research Workflow
Research Workflow
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- Check DOI/OpenAlex
- Open relationship graph
- Review people and labs: Not stated in the reviewed source.
- Open linked event for AISci context
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Publication facts
- Type
- paperSourceOpenAlex indexed source
- Date
- Jun 25, 2026SourceOpenAlex indexed source
- Venue
- Proceedings of the 2026 ACM Conference on Fairness, Accountability, and TransparencySourceOpenAlex indexed source
- Open access
- openSourceOpenAlex indexed source
External IDs
Author order
No reviewed author edge is attached to this output.
Organizations
No source-confirmed author affiliation is attached.
Related events
Topics
Relationship evidence
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
Publication signal: Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
AI Safety and Evaluations
Controlled AISci Stage A topic for AI Safety and Evaluations.
Timeline
- paperExpert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing