Anthropic

Based on real interviews

Scalable oversight failure modes

Investigate failures in methods that use AI to help humans evaluate increasingly capable systems.

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The challenge

Direct human evaluation is unreliable for the tasks under consideration. Analyse how a scalable-oversight method can fail, naming the component or step responsible. Explain what evidence would reveal that failure, how a mitigation changes the mechanism and which unresolved question merits a three-month investigation.

What you'll practise

  • Technique-specific analysis

    Explain a failure within the oversight method you chose, rather than discussing alignment in general.

  • Evidence and uncertainty

    Design a test that separates the mechanism from nearby explanations.

  • Research scope

    Turn an under-studied failure into a bounded, informative experiment.

Your writing workspacePreview
Your oversight research memoYour response
Your recommendation

Write your reasoning and submit it for feedback.

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