Intended Audience: Federal/National Government: Executive Branch
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OMB M-24-10 Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
Executed on March 28, 2024, this memorandum establishes new agency requirements and guidance for AI governance, innovation, and risk management, including through specific minimum risk management practices for uses of AI that impact the rights and safety of the public.
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OMB M-25-22 Driving Efficient Acquisition of Artificial Intelligence in Government
Executed April 3,2025, this memorandum provides guidance to federal agencies on the efficient and secure acquisition of AI systems and services.
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OMB M-25-21 Accelerating Federal Use of AI through Innovation, Governance, and Public Trust
Executed April 3, 2025, this memo provides federal agencies with government-wide guidance for accelerating AI adoption through innovation, governance, and public trust.
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Executive Order on Removing Barriers to American Leadership in Artificial Intelligence
Signed on January 23, 2025, this executive order seeks to solidify the United States' leadership in artificial intelligence
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USDS 2024 Impact Report
This report highlights the agency's role in transforming federal digital services through human-centered design, agile technology, and cross-agency collaboration.
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How Would a State Cost Share Affect SNAP in a Recession?
This report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
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NIST AI Risk Management Framework Playbook
The AI RMF Playbook offers organizations detailed, voluntary guidance for implementing the NIST AI Risk Management Framework to map, measure, manage, and govern AI risks effectively.
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NIST Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
This profile provides a cross-sectoral profile of the AI Risk Management Framework specifically for Generative AI (GAI), outlining risks unique to or exacerbated by GAI and offering detailed guidance for organizations to govern, map, measure, and manage those risks responsibly.
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AI in government: fundamentals training
Guidance outlining how Australian government agencies can train staff on artificial intelligence, covering key concepts, responsible use, and alignment with national AI ethics and policy frameworks.
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Digital Doorways to Public Benefits: Beneficiary Experiences with Digital Identity: Executive Summary
Led by the Digital Benefits Network in partnership with Public Policy Lab, the Digital Doorways research project amplifies the lived experiences of beneficiaries to provides new insights into people’s experiences with digital identity processes and technology in public benefits. This executive summary gives an overview of the project’s findings.
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The Public Design Evidence Review
The Public Design Evidence Review examines how design practices can improve public policies and services across the UK, exploring what good “public design” looks like, how it’s being used, and what enables or inhibits its impact.
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The Role of AI in Equitable Government Decision-Making
This report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.