OMB M-26-04: Right-Size LLM Transparency Evidence
Explore how to apply OMB Memorandum M-26-04 requirements to acquire Large Language Models responsibly. Learn to demand transparency packages, including use policies and documentation, that support ongoing monitoring and governance. Understand how to align contracts with unbiased AI principles, manage vendor change notifications, and ensure defensible acquisition decisions in federal AI use cases.
A procurement questionnaire can look complete while still leaving the team unable to govern the LLM they are buying. The common failure is a form that asks for price, uptime, and a baseline security posture, but never asks how the model will change, how users will be constrained, or how the agency will learn about failures. That gap does not show up on day one, because the first demo works and everyone thinks the hard part is picking a vendor. The work that actually decides whether the buy is defensible is whether the contract can support the agency’s existing Test, ...