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Scalable Oversight Of Ai Systems
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: OpenAI
This OpenAI research page is no longer accessible (404 error). Users should search for the original paper 'Supervising strong learners by amplifying weak experts' or related scalable oversight literature on arXiv or via the Wayback Machine.
Metadata
Importance: 20/100blog postprimary source
Summary
This OpenAI research page on scalable oversight appears to be no longer available (404 error), but was intended to cover methods for maintaining human oversight of AI systems as they become more capable than humans at evaluating their own outputs. The research area addresses how to supervise AI on tasks where direct human evaluation is difficult or impossible.
Key Points
- •Page returns a 404 error, indicating the content has been moved or removed from OpenAI's website.
- •Scalable oversight addresses the challenge of supervising AI systems on tasks too complex for direct human evaluation.
- •Related concepts include iterated amplification and AI safety via debate as oversight mechanisms.
- •This URL was likely associated with early OpenAI work on maintaining alignment as AI capabilities scale.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Paul Christiano | Person | 39.0 |
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Resource ID:
664f6ab2e2488b0d | Stable ID: YTQ4NDRmYT