AI & Technical question
Researchers have unlocked a new model capability that could make agents materially more useful, but it also raises new safety and reliability risks. How would you decide whether to expose it in the API, to whom, and under what constraints or rollout plan?
- OpenAI
- AI & Technical
- Hard
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What this question tests
Tests risk-based launch decision making for a capability with real upside and real safety exposure, and the ability to design a staged rollout instead of a binary ship call.
How to approach it
- Clarify what the capability unlocks for agents, for example longer autonomous tool-use chains, and name the specific new risks it introduces, like irreversible actions or data exposure.
- Set hard gates: red-teaming results, a safety eval suite, and legal or policy sign-off must pass before any external exposure.
- Choose an initial audience: trusted partners or a small allowlist of enterprise developers under a usage agreement, not general availability.
- Define constraints for that first rollout: rate limits, mandatory logging, required human confirmation for high-impact actions, and a kill switch.
- Set expansion criteria, for example a defined number of weeks with no safety incident and stable eval scores, before widening access.
- Build a monitoring plan that can detect misuse or failure fast enough to pause the rollout.
What a strong answer includes
- Treats safety evals as a hard gate, not a nice-to-have, before any access is granted.
- Chooses a narrow, reversible first audience, like design partners, over a broad launch, explicitly trading speed for controllability.
- Specifies concrete constraints, rate limits, mandatory confirmation steps, logging, rather than a vague safe rollout.
- Defines measurable graduation criteria to move from limited to general availability instead of an open-ended pilot.
Common mistakes
- Treating this as a pure feature-prioritization question instead of a risk-gated rollout decision.
- Skipping the kill switch or monitoring plan needed to catch misuse quickly.
- Rolling out broadly first and planning to tighten controls only if problems appear.
Likely follow-up questions
- Who internally needs to sign off before this ships to anyone?
- What would make you pull the capability back after launch?
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More questions from OpenAI
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 1: Foundations: the model and the decisions it forces on you
- Chapter 8: Evals: define good and make the number defensible
- Chapter 6: Agents and agentic architecture