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Scheduled to release on November 8, 2026
Governing the Black Box: Accountability and Procurement Challenges
Governing the Black Box: Accountability and Procurement Challenges As agencies outsource dynamic machine learning systems, they open a severe accountability vacuum. We dissect how federal directives OMB M-25-21 and M-25-22 weaponize the public procurement process to mandate annual bias audits, safety assessments, and clear data ownership rights. 🎓 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 0:07 - Outsourcing Democratic Capacity & Vendor Lock-In 0:38 - OMB Memorandum M2522: Overhauling Procurement 1:46 - The Accountability Vacuum of Machine Learning 2:27 - OMB Memorandum M2521: Safety Audits & Inventories 5:37 - 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
Key Takeaways & Core Ideas
- ▪AI-narrated transformation
- ▪Source-connected material analysis
Source Excerpt
"Governing the Black Box: Accountability and Procurement Challenges As agencies outsource dynamic machine learning systems, they open a severe accountability vacuum."
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