The OECD.AI Policy Navigator
Our policy navigator is a living repository from more than 80 jurisdictions and organisations. Use the filters to browse initiatives and find what you are looking for.
National Artificial Intelligence Advisory Committee – Law Enforcement Subcommittee
About the policy initiative
Category:
- National – AI governance bodies or mechanisms
Initiative type:
- Advisory bodies, offices or processes
Status:
- Inactive – initiative complete
Start Year:
- 2024
End Year:
- 2024
Target Sectors:
OECD AI Principles:
- 1.2 Respect for the rule of law, human rights and democratic values, including fairness and privacy
- 1.4 Robustness, security and safety
- 1.5 Accountability
- 2.1 Investing in AI research and development
- 2.2 Fostering an inclusive AI-enabling ecosystem
- 2.3 Shaping an enabling interoperable governance and policy environment for AI
Other relevant urls:
—Official PDF:
Genesis Mission
A major US national initiative launched by Executive Order on 24 November 2025, led by the Department of Energy (DOE), to harness artificial intelligence and advanced computing to transform the pace and scale of American scientific discovery and engineering.
DOL AI Workforce Guidance (TEGL 03-25)
A federal guidance letter from the Department of Labor directing state and local workforce development boards to use WIOA funding to integrate AI literacy and skills training into programmes for youth, adults, and dislocated workers.
Executive Order 14179: Removing Barriers to American Leadership in AI
The foundational US AI policy instrument of the second Trump administration, signed on 20 January 2025, which revoked the Biden administration's Executive Order 14110 on AI (October 2023) and directed all federal agencies to adopt a pro-innovation, competition-oriented approach to AI development and deployment.
America's AI Action Plan
The Action Plan sets forth policy goals for near-term execution by the Federal government and articulates policy recommendations in line with the President’s vision for US leadership in AI. It is articulated around three main pillars: innovation, infrastructure, and international diplomacy and security.
The Stargate Project
The Stargate Project is a US-based AI infrastructure initiative established by OpenAI, SoftBank, and Oracle, with an investment commitment of $500 billion over four years. Launched in January 2025, it aims to build large-scale AI data centres across the United States, beginning in Texas. The initiative targets nearly 7 gigawatts of planned capacity and over 25,000 on-site jobs.
Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST AI 100-2e2025)
Published by the National Institute of Standards and Technology (NIST) in March 2025, NIST AI 100-2e2025 provides a taxonomy of concepts and terminology in the field of adversarial machine learning (AML). It covers key types of ML methods, life cycle stages of attack, and attacker goals, capabilities, and knowledge, alongside mitigation methods, aiming to establish a common language to inform standards and practice guides for assessing and managing the security of AI systems.
National Artificial Intelligence Research Resource (NAIRR)
The U.S. National Science Foundation-led National Artificial Intelligence Research Resource (NAIRR) is a scalable national infrastructure that provides the research and education communities with access to the critical computing, software, data, models, educational resources and expertise needed to advance AI innovation for the U.S.
AI for Small Businesses Resource Hub (SBA)
Online hub providing guidance and training for small businesses adopting AI.
Developing Strategies to Increase Capacity in AI Education
Developing Strategies to Increase Capacity in AI Education (September 2025) presents findings from the NSF LEVEL UP AI project, based on 32 virtual roundtables with 202 experts. Conducted in 2024, it aims to improve AI education in US undergraduate institutions by analysing challenges such as infrastructure, skills gaps and curricula, and proposing strategies including faculty development, interdisciplinary approaches and expanded access.



























