Frameworks of Friction: Governing Sub-Symbolic AI

Frameworks of Friction: Governing Sub-Symbolic AI Reconciling the mathematical opacity of sub-symbolic predictive models with constitutional due process. We analyze the global policy spectrum (from soft law frameworks to strict bans) and review the Electronic Frontier Foundation's argument against government facial recognition surveillance. 🎓 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 1:25 - Symbolic vs. Sub-Symbolic Architecture 2:03 - Legal Liability & Omitted Payoff Calibration 4:36 - Global Policy Spectrum: Soft Law to Hard Bans 6:39 - The EFF Argument Against Facial Recognition 7:58 - Tethering AI to Democratic Accountability 8:53 - 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