National Security & The AI Accountability Vacuum
National Security & The AI Accountability Vacuum Autonomous drone payloads and advanced LLM assistance in chemical/biological weapons present severe catastrophic risks. We evaluate the laws of armed conflict distinction rules, the battlefield responsibility gap, and compute governance of graphical processing units as a physical bottleneck. 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 1:18 - Autonomous Weapons (LAWS) & The Responsibility Gap 2:06 - Frontier Models & Catastrophic Biological Risks 2:39 - Compute Governance & Physical Bottlenecks 4:07 - 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
