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?