AI Ethics Compliance

Assessing Bias, Fairness, Transparency, and Legal (EU AI Act, GDPR).

majiayu000 bb08f54 2 files · 2.0 KB Updated 567 repo stars

File contents

ai-ethics-compliance Skill

This skill ensures the system respects human rights and legal frameworks.

1. Regulatory Checklist (EU AI Act / GDPR)

  • Transparency: Does the user know they are interacting with AI? (Art 52).
  • Explanation: Can we explain why the AI made a decision? (Right to Explanation).
  • Data Rights: Can the user request their data be deleted? (Right to be Forgotten).
  • Risk Category: Is this "High Risk" (CV recruitment, credit scoring)? If yes, Conformity Assessment required.

2. Bias Testing

  • Demographic Parity: Does the model perform equally well for all groups?
  • Dataset Audit: scan training/RAG data for stereotypes or under-representation.
  • Proxy Variables: Are we using "Zip Code" as a proxy for race?

3. Dark Pattern Prevention

  • Addiction Loops: Are we exploiting dopamine triggers?
  • Manipulation: Are we tricking the user into consent?
  • Privacy Zuckering: Making it hard to manage privacy settings.

4. The "Newspaper Test"

  • If this feature's logic was published on the front page of the NYT, would we be ashamed?

majiayu000/claude-skill-registry-data/tree/main/security/security-andreibesleaga-gabbe-7 commit bb08f5432f

Frequently asked questions

npx skillmds add majiayu000/ai-ethics-compliance