The Federal AI Compliance Landscape Has Changed Dramatically
Federal agencies implementing AI today face a compliance landscape that didn't exist three years ago. The NIST AI Risk Management Framework, Executive Order 14110, and subsequent OMB memoranda have created a structured — if still evolving — framework for federal AI governance.
Navigating this landscape requires understanding not just the individual requirements, but how they interact and what they actually require in practice. This guide synthesizes the key requirements for agency AI practitioners.
NIST AI Risk Management Framework (AI RMF)
Released in January 2023, the NIST AI RMF provides a voluntary framework for managing AI risk across four functions: Govern, Map, Measure, and Manage. While technically voluntary, it has become the de facto standard for federal AI governance and is increasingly expected in agency AI programs.
- Govern: Establishing organizational policies, accountability structures, and a culture of risk-aware AI development
- Map: Identifying and categorizing AI risks in context — who is affected, what could go wrong, and what's the severity?
- Measure: Analyzing and assessing AI risks using qualitative and quantitative methods
- Manage: Prioritizing and treating risks with appropriate controls, and maintaining ongoing monitoring
Executive Order 14110: Safe, Secure, and Trustworthy AI
Signed in October 2023, EO 14110 directed federal agencies to take specific actions on AI safety, security, privacy, equity, and civil rights. Key agency requirements include:
- Designating a Chief AI Officer (or equivalent) responsible for agency AI governance
- Inventorying AI use cases and assessing their impacts
- Developing risk management processes for high-impact AI use cases
- Ensuring AI systems respect civil rights, civil liberties, and privacy
The EO created the first comprehensive federal framework for AI governance — agencies that treat it as a compliance checkbox rather than a governance opportunity will find themselves revisiting these requirements repeatedly as the landscape evolves.
OMB Memoranda: The Implementation Details
OMB Memorandum M-24-10 (March 2024) operationalized many EO 14110 requirements, including specific timelines for Chief AI Officer designation, AI use case inventory completion, and risk management framework implementation.
Practical Compliance Priorities
For agencies building or procuring AI systems in 2026, the practical priorities are:
- AI governance structure established and documented
- AI use case inventory current and risk-categorized
- High-impact use cases with formal risk assessments and mitigation plans
- Procurement language updated to include AI-specific requirements
- Staff training on responsible AI use in federal context
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