AnthropicOpenAI

Based on real interviews

Review a misuse detector before launch

Check whether a detector's launch evidence accounts for both missed abuse and wrongly blocked users.

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The challenge

A safeguards team wants to replace hand-written rules with a prompt classifier on an API handling millions of requests a day. Clear policy violations are rare, and the human review team can inspect only a small fraction of traffic.

Review the proposed evaluation and rollout plan. Assess what its headline result says about missed violations and blocked legitimate users, and whether the evidence remains trustworthy once the detector starts influencing its own future training data.

What you'll practise

  • Evaluation validity

    Assess labels, splits and metrics against the population the detector will serve.

  • Threshold decisions

    Connect launch evidence to missed abuse, false positives and review capacity.

Your review workspacePreview
Detector evaluation and rollout planCase materials included in the full challenge
Your review

Explain the issue, its consequence and the change you would make.

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