Structuring the Void: Reconciling AI Mechanics with Legal Governance
Structuring the Void: Reconciling AI Mechanics with Legal Governance We dissect the foundational concepts of AI governance, mapping the operational mechanics of deep learning and backpropagation against the legal boundaries of tort liability and administrative compliance. Discover why the 'black box' problem is a technical reality public administrators must navigate. š 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. š Access the course resources, readings, and public policy toolkits at: https://reWandt.com TIMESTAMPS: 0:00 - Introduction & Video Start 1:23 - Pillar 1: Computer Science & Symbolic AI 1:47 - Pillar 1: Sub-Symbolic AI & Deep Learning 2:26 - The Black Box & Backpropagation 3:07 - Pillar 2: Philosophy & The Chinese Room 4:05 - Pillar 3: Law, Tort Liability & Administrative Law 5:12 - National Strategy & Policy Frameworks 6:32 - Conclusion & Outro āļø 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
Key Takeaways
- ā¢AI-narrated transformation
- ā¢Source-connected material analysis
