AI Safety Risk: Identify, Assess, Mitigate, and Monitor

Context

Behavioral & leadership onsite prompt for a Software Engineer working on AI features.

Prompt

Provide a concise, structured example of when you identified a potential AI safety risk in a product or research project. Include:

1. The risk you identified (e.g., bias, jailbreaking, privacy leakage, harmful content, hallucinations causing unsafe actions).
2. How you assessed the risk (tests, metrics, red‑teaming, user impact, likelihood × severity).
3. How you mitigated it (technical and process controls).
4. Who you involved and why (engineering, security, legal/privacy, product, data science, support, ethics/compliance).
5. Post‑launch guardrails and monitoring (dashboards, canaries, sampling, incident response, rollbacks).

If you lack a direct example, describe how you would handle harmful outputs under a tight launch timeline and conflicting business pressure.