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.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.