responsible-ai

What problem does it solve?

This Skill helps teams systematically identify, evaluate, and mitigate ethical, fairness, safety, privacy, and regulatory risks in AI products and features before launch or during audits.

Core Features & Use Cases

• Comprehensive Risk Assessment: Walks through bias and fairness checks, safety harms, privacy concerns, and regulatory mapping (EU AI Act, HIPAA, FCRA, etc.).
• Explainability & Transparency Review: Recommends explanation techniques, confidence reporting, and user-facing AI disclosure requirements.
• Operational Controls & Incident Planning: Defines guardrails, red-teaming prompts, human-in-the-loop checkpoints, monitoring, and an incident response playbook.
• Use Case: Use when preparing a pre-launch compliance review for a recommender or generative feature, responding to a reported bias incident, or compiling an audit-ready Responsible AI report.

Quick Start

Conduct a responsible AI review for my feature that generates personalized content using user profiles and search inputs.