ai-ethics-review

# AI Ethics Review Skill This skill produces a structured ethical review of an AI or machine learning feature, model, or product. Output covers fairness, transparency, privacy, safety, accountability, and societal impact — with risk scoring, prioritised mitigations, and a checklist suitable for governance review or responsible AI documentation. > ⚠️ This skill provides a structured framework for identifying and documenting ethical risks. It is not a substitute for legal advice, regulated algorithmic impact assessments, or specialist ethics review required in specific jurisdictions (e.g. EU AI Act, UK AI regulation). ## Required Inputs Ask the user for these if not provided: - **Feature or model name** and what it does - **Who it affects** — which users or people does the AI interact with, make decisions about, or collect data from? - **What decisions or outputs it produces** — recommendations, predictions, classifications, generation, automation? - **Consequentiality** — how significant are the AI's decisions? (low-stakes suggestions vs decisions that affect employment, credit, health, safety, etc.) - **Data used** — what training data, user data, or third-party data is used? - **Human oversight** — is there a human in the loop, and at what stage? - **Deployment context** — who will use this and how? (internal tool / consumer-facing / automated pipeline) ## Output Structure --- # AI Ethics Review: [Feature / Model Name] **Product / system:** [Name and brief descriptio...