Algorithmic Disparate Impact: Bridging the Technical-Legal Divide

Algorithmic Disparate Impact: Bridging the Technical-Legal Divide When facial analysis software error rates spike to 34.7% for minoritized groups, it exposes a systemic civil rights failure. We explore the legal boundary between disparate treatment and disparate impact, review Joy Buolamwini's Gender Shades study, and analyze EEOC Title VII liability guidelines. 🎓 Class Connection: This is the official video overview for PAD 747: AI Policy and Regulation (Governance, Law, and Public Administration) at CUNY John Jay College of Criminal Justice. 🔗 Access the course resources, readings, and public policy toolkits at: https://reWandt.com TIMESTAMPS: 0:00 - Introduction & Video Start 1:03 - Disparate Treatment vs. Disparate Impact 1:48 - The Gender Shades Study: Intersectional Bias in Biometrics 3:12 - EEOC Hiring Guidelines & Title VII Liability 4:27 - The Blueprint for an AI Bill of Rights 5:23 - Conclusion & Outro ⚖️ DISCLAIMER: This video was generated using artificial intelligence narration and compilation. While we make every effort to ensure the accuracy and correctness of the courseware and materials presented, minor errors or incongruities may occasionally occur. The content and presentation do not necessarily represent the official viewpoints or personal opinions of Professor Adam Scott Wandt. #reWandt #AIPolicy #AIGovernance #JohnJayCollege #PublicAdministration