Explain your perspective on AI safety

##### Question OpenAI software engineer onsite, behavioral round. The interviewer spends most of the session on your views about AI safety — what it means in practice, what it implies for society, and how it changes the way you build and ship. Work through the following: 1. **What does AI safety mean to you?** Give a practical, product-building definition rather than a slogan. 2. **Which risks concern you most, and how do you triage them?** Cover both near-term, concrete failure modes and longer-term or more speculative ones, and explain how you distinguish between the two. 3. **How will AI affect human work?** Which jobs or tasks are most exposed, where does AI augment rather than replace, and what responsibility do AI practitioners have toward people whose work is disrupted? 4. **How will AI affect the broader economy and society?** Discuss the upside — productivity, new industries, scientific progress — alongside the downside: inequality, concentration of power, misinformation, security risks. 5. **How would these views change your day-to-day engineering work?** Walk through how you would build safety into the lifecycle of an AI feature: scoping, data, model and guardrails, evaluation and red-teaming, deployment, monitoring and incident response. 6. **Give a concrete illustration.** A real example from your experience, or an honest worked hypothetical, showing the processes, tools, and safeguards you would advocate for. 7. **How do you balance innovation with responsible deployment?** Be specific about when you would slow a launch down, and when over-engineering safety is itself the wrong call. Answer as you would in the interview: thoughtful, concrete, and balanced, connecting the high-level principles to the specific practices you would actually follow.