The AI Liability Gap: Governing Artificial Intelligence in the Administrative State

The AI Liability Gap: Governing Artificial Intelligence in the Administrative State How do you assign responsibility when self-taught, opaque machine learning systems cause real-world damage? We analyze the legal friction across tort liability, consumer protection, professional ethics, and the potential loss of Section 230 statutory immunity for generative AI outputs. 🎓 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 1:14 - Tort Liability & The Causation Problem 2:37 - Consumer Protection & Behavioral Manipulation 3:20 - Professional Ethics & Legal Duty of Competence 4:13 - Section 230 Immunity & Generative AI 5:43 - 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