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.
AI initiatives from United States
Filter by:
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.
Start year: 2025
Country/Organisation: United States
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.
Start year: 2025
Country/Organisation: United States
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.
Start year: 2025
Country/Organisation: United States
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.
Start year: 2025
Country/Organisation: United States
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.
Start year: 2025
Country/Organisation: United States


























