Governing the Black Box: Accountability and Procurement Challenges
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Episode 10

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. šŸŽ“ 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. šŸ”— 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 āš–ļø 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

  • •AI-narrated transformation
  • •Source-connected material analysis