The OECD.AI Policy Navigator

The HHS AI Strategic Plan (2025) outlines a roadmap for the responsible use of AI across health, public health, and human services in the U.S. It aims to improve outcomes, efficiency, and equity while managing risks such as bias and privacy issues, focusing on innovation, trustworthy AI, access to technologies, and workforce development.

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.

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.

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 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.

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 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.

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