The OECD.AI Policy Navigator

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.

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.

A large-scale, long-term NSF programme building self-sustaining regional innovation ecosystems through coalitions of industry, academia, government, and civil society, integrating use-inspired R&D with workforce development and technology commercialisation.

A federal economic development programme that designates and funds regional cross-sector consortia across the US to build globally competitive ecosystems in critical and emerging technologies including AI, advanced manufacturing, and semiconductors.

A federal non-dilutive grant scheme providing phased R&D funding to US small businesses and startups developing and commercialising cutting-edge AI technologies.

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.

Online hub providing guidance and training for small businesses adopting AI.

The National Artificial Intelligence Advisory Committee Law Enforcement Subcommittee (NAIAC-LE), authorised under Section 5104 of the National Artificial Intelligence Initiative Act of 2020, held an open meeting on 19 January 2024. The primary purpose of the meeting was for Subcommittee Members to report working group findings, identify actionable recommendations, and discuss updates on goals and deliverables related to the development of artificial intelligence in law enforcement.

The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.

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.

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.

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.

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.

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.

NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society.

The Initiative supports research that promotes integration of robots to the benefit of humans, as well as human safety and independence.

This Plan this 2019 Update to the National AI R&D Strategic Plan is, by design, solely concerned with addressing the R&D priorities associated with advancing AI technologies.

This purpose of this Plan is to convey a clear set of R&D priorities that address strategic research goals, focus Federal investments on those areas in which industry is unlikely to invest, and address the need to expand and sustain the pipeline of AI R&D talent.

The Big Data to Knowledge (BD2K) program supports the R&D of innovative and transformative approaches and tools to maximise and accelerate the utility of big data and data science in biomedical research.

In September 2018, DARPA announced a multi-year investment of more than $2 billion on AI R&D in a portfolio of some 50 new and existing programs collectively called the AI Next campaign.