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Auditing for Large Language Models
governmentCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Centre for the Governance of AI
This governance.ai paper on LLM auditing is currently inaccessible (404); users should search for an updated URL or archived version before relying on this link.
Metadata
Importance: 20/100working paperanalysis
Summary
This resource appears to be a research paper on auditing frameworks for large language models, but the page is currently inaccessible (404 error). Based on the URL and title, it likely addressed methodologies for evaluating LLM behavior, safety, and compliance from a governance perspective.
Key Points
- •Page returns a 404 error; content is unavailable or has been moved
- •Likely covered auditing methodologies and frameworks for evaluating large language models
- •Published by governance.ai, suggesting a policy and governance-oriented perspective on LLM oversight
- •Auditing LLMs is a key mechanism for accountability and safety verification in AI deployment
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Governance-Focused Worldview | Concept | 67.0 |
Cached Content Preview
HTTP 200Fetched Mar 15, 20260 KB
404 # Page not found The page you are looking for doesn't exist or has been moved.
Resource ID:
1c3727edad48f707 | Stable ID: ZDcxMWU0Yj