# AI Risk Register

> Create AI risk registers for agentic AI, GenAI pilots, AI vendors, and AI-enabled workflows. Use when Codex is asked to assess AI risks, map governance concerns, identify controls, prepare AI risk reviews, or summarize model/data/process risks.

- Skill: `gabrielmoreira/ai-risk-register` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/ai-risk-register`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/ai-risk-register/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gabrielmoreira/ai-risk-register

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# AI Risk Register

## Core Workflow

1. Define AI system, workflow, users, data, model/vendor, autonomy level, and
   decision impact.
2. Identify risks across data, privacy, security, bias, hallucination, IP,
   compliance, human oversight, user adoption, operations, and vendor lock-in.
3. Score likelihood, impact, detectability, reversibility, and control maturity.
4. Define controls, owners, monitoring, review cadence, and escalation paths.
5. Separate pilot risks from production risks.
6. Flag risks requiring legal, security, privacy, people, finance, or executive
   review.

## Safety Rules

- Do not claim an AI system is compliant, safe, or production-ready without
  owner review and evidence.
- Do not assume vendor controls, data permissions, model behavior, or human
  oversight exists.
- Verify current official platform, legal, security, or compliance guidance
  before platform-specific tactical recommendations.
- Escalate high-impact customer, employee, regulated, legal, privacy, security,
  or financial risks.

## Deliverable Shape

For AI risk work, provide:

- AI risk register
- Risk score and confidence
- Controls and owners
- Monitoring and review cadence
- Open governance questions
- Escalation needs
- Pilot versus production distinction

## References

- Read `references/ai-risk-register-checklist.md` when preparing AI risk
  registers, governance reviews, or control maps.