# Responsible AI review · [Product] · [Use case] · Gate: [PRD / pre-beta / pre-GA / material change] · [Date] **Presenter:** [PM] **Approver (can block):** [name] **Attendees:** [applied AI, security, privacy, legal, UX] ## Evidence presented - [ ] Triage with role, tier and transparency duties; counsel's view recorded - [ ] Impact assessment, current version - [ ] DPIA status (needed / done / not needed, with reason) - [ ] Eval results, including slices and regression suite - [ ] Red-team findings and their status (pre-beta and later) - [ ] System card and instructions for use (pre-GA and later) - [ ] Incident plan with kill switches tested (pre-GA and later) - [ ] Disclosure and content marking in the UX - [ ] Logging that meets deployer retention needs - [ ] Questionnaire answer bank updated ## Questions the approver asks 1. What is the worst thing this system can do, and what stops it? 2. Who could be treated worse, and how would we know? 3. What changed since the last review? 4. Which residual risks are we accepting, and who owns them? ## Decision - [ ] Approved - [ ] Approved with conditions: [conditions, owners, dates] - [ ] Not approved: [what is needed] Recorded in the decision log by [name] on [date].