Responsible AI

Responsible AI is the practice of building systems whose fairness, privacy, transparency, and accountability are designed in from the start rather than bolted on once something goes wrong. In a product that simulates human audiences, that’s not optional — it’s the difference between insight and surveillance.

I treat it as a hard requirement alongside latency and cost. Tenant isolation, honest disclosure of what’s modelled, and evals that check for harm are features of the system, not paperwork around it.