A National Framework for AI Procurement
Summary
As artificial intelligence (AI) applications for public use have proliferated, there has been a large uptick in challenges associated with AI safety and fairness. These challenges are due in part to poor transparency in and standardization of AI procurement protocols, particularly for public-use applications. In this memo, we propose a federal framework—orchestrated through the Office of Federal Procurement Policy (OFPP) situated in the Office of Management and Budget (OMB)—to standardize and guide AI procurement in a safer, fairer manner. While this framework is designed for federal implementation, it is important to recognize that many decisions on AI usage are made by municipalities. The principles guiding the federal framework outlined herein are intended to also help guide development and implementation of similar frameworks for AI procurement at the local level.
AI’s high-stakes outputs directly shape American economic, industrial, and technological outcomes. They must not be accepted entirely on the basis of institutional faith rather than verifiable evidence.
The clearinghouse will also neutrally mediate the assignment of auditors to audits—strengthening independence, trust, and ethical governance across the AI ecosystem.
Soft law was never meant to be a permanent solution. Treating it as one, and letting the sandcastle stand in for the skyscraper indefinitely, is how we end up with a decade of voluntary commitments and no enforceable accountability to show for it.
Jobseekers, employees at smaller organizations, and local public workers need more than a weekend crash course in AI. They need practice choosing useful tasks, protecting data, testing outputs, and explaining where human judgment remains necessary.