yzhao062 / awesome-auditable-ai
Auditing AI agents: a curated list of papers, tools, datasets, benchmarks, and standards covering reliability, monitoring, failure attribution, and decision records.
Why this job: name: awesome; says: curated list; topics: awesome-list, awesome
What it does
Audit Commons is the companion website for this list, with AI auditing news, analysis, practical guides, and a searchable resource directory.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 159
- +2 this week
- Licence
- CC0-1.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 90% of the code
Is it looked after?
- Contributors
- 36
- Last 90 days
- Issues
- 56% closed
- 4 still open
- Pull requests
- 37 merged
- 3 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 90%
- HTML 10%
Topics
- agent-evaluation
- agent-reliability
- agentic-ai
- ai-agents
- ai-safety
- auditable
- auditing
- awesome
- awesome-list
- failure-attribution
- llm-agents
- observability
Project record
- JobLists and guides
- StatusListed
- Commits98
- Forks47
- Watching2
- Stars in 28 days+8
- CreatedJun 24, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026