• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

  • Articles
    • Public Policy
    • Privacy & Security
    • Human Rights
      • Ethics
      • JEDI (Justice, Equity, Diversity, Inclusion
    • Climate
    • Design
      • Emerging Technology
    • Application & Adoption
      • Health
      • Education
      • Government
        • Military
        • Public Works
      • Labour
    • Arts & Culture
      • Film & TV
      • Music
      • Pop Culture
      • Digital Art
  • Columns
    • AI Policy Corner
    • Recess
    • Tech Futures
  • The AI Ethics Brief
  • AI Literacy
    • Research Summaries
    • AI Ethics Living Dictionary
    • Learning Community
  • The State of AI Ethics Report
    • State of AI Ethics Report Volume 8 (2026): Call for Contributors
    • Volume 7 (November 2025)
    • Volume 6 (February 2022)
    • Volume 5 (July 2021)
    • Volume 4 (April 2021)
    • Volume 3 (Jan 2021)
    • Volume 2 (Oct 2020)
    • Volume 1 (June 2020)
  • About
    • Our Contributions Policy
    • Our Open Access Policy
    • Contact
    • Donate

AI Policy Corner: Discussing the White House’s 2025 AI Action Plan

October 13, 2025

✍️By Matthew Catani.

Matthew is an undergraduate student in Artificial Intelligence and a Research Assistant at the Governance and Responsible AI Lab (GRAIL), Purdue University.


📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Governance and Responsible AI Lab (GRAIL) at Purdue University. The series provides concise insights into critical AI policy developments from the local to international levels, helping our readers stay informed about the evolving landscape of AI governance. This piece analyzes the White House’s 2025 AI Action Plan.


America’s AI Action Plan

On July 23, 2025, the White House released its AI Action Plan for 2025, following President Trump’s executive order in January mandating the development of a proposal to “sustain and enhance America’s global AI dominance”. The document establishes an array of goals the administration hopes to achieve, along with recommended policy actions for each. These goals are organized under three pillars: Accelerate AI innovation, Build American AI infrastructure, and Lead in international AI diplomacy and security. This article will discuss the major elements of each, and what this document means for the future of AI in America as a whole.

Pillar I: Accelerate AI Innovation

This section mainly deals with deregulation of AI systems and development, as well as supporting the expansion and adoption of such systems. Beginning with the former, the plan advises the revising or repealing of laws or other official material that hinders AI development, per Executive Order 14192 “Unleashing Prosperity Through Deregulation”. It also encourages revising the National Institute of Standards and Technology (NIST) AI Risk Management Framework to remove references to concepts such as misinformation, DEI (diversity, equity, and inclusion), and climate change. On the topic of support, the document pushes for investment in improving AI datasets and evaluation, and encourages the adoption of AI in business and government, with special importance being given to the Department of Defense.

Pillar II: Build American AI Infrastructure

This section is focused less on the AI systems themselves, and more on the material and resources needed to power the industry. This involves reducing environmental regulations that might impede the construction of data centers and energy infrastructure, such as the Clean Air Act, the Clean Water Act, and other related laws. It also encourages improving semiconductor production through the Department of Commerce, and training the workforce on AI usage and infrastructure through the Department of Labor (DoL). These DoL programs are to range from educating current workers to training middle and high school students through pre-apprenticeship programs. The section further advises securing America’s critical AI infrastructure through cybersecurity improvement and policy development.

Pillar III: Lead in International AI Diplomacy and Security

While the previous sections deal with AI policy in the United States, this section is concerned with America’s role in the growth and use of AI in the international arena. Much of this is dedicated to controlling the export of vital AI systems and enablers (such as semiconductors). It encourages providing such resources to U.S. allies and aligning global AI policy with the ideals of the United States. This is to be done specifically in concert with opposing the growing influence of China on the world stage. 

Overall Impact

Altogether, this document demonstrates the position of the current administration as being heavily interested in the development and success of AI. Much of the plan involves stripping down regulations on AI itself or factors that may inhibit its growth, while promoting industry growth and government adoption of AI. If this course remains steady, we can expect to see AI become a far greater element of American industry, and witness its extensive use in governmental operations. 

Further Readings

  • Data Centers and Water Consumption
  • White House AI Action Plan: A First Look
  • AI in China: A Sleeping Giant Awakens

Want quick summaries of the latest research & reporting in AI ethics delivered to your inbox? Subscribe to the AI Ethics Brief. We publish bi-weekly.

Primary Sidebar

SAIER Volume 8 (2026)

SAIER Volume 8 (2026) Call for Contributors

🔍 SEARCH

Spotlight

Vertically- and horizontally-placed chess boards and chess pieces

Tech Futures: At the Frontier of Fear, Uncertainty and Doubt

Tech Futures: Introducing the Resist List

An abstract spiral of dark circles appears at the centre, resembling a tornado. Several vintage magazine covers and advertisements are being drawn toward the spiral. The artworks that have already been pulled into it are becoming distorted and replaced with clusters of numbers representing their numerical embeddings.

Tech Futures: Better Imagination for Better Tech Futures

This image is a collage with a colourful Japanese vintage landscape showing a mountain, hills, flowers and other plants and a small stream. There are 3 large black data servers placed in the bottom half of the image, with a cloud of black smoke emitting from them, partly obscuring the scenery.

Tech Futures: Crafting Participatory Tech Futures

A network diagram with lots of little emojis, organised in clusters.

Tech Futures: AI For and Against Knowledge

related posts

  • AI Policy Corner: Reviewing Ukraine’s Whitepaper on Artificial Intelligence Regulation

    AI Policy Corner: Reviewing Ukraine’s Whitepaper on Artificial Intelligence Regulation

  • Risks vs. Harms: Unraveling the AI Terminology Confusion

    Risks vs. Harms: Unraveling the AI Terminology Confusion

  • A brightly coloured illustration which can be viewed in any direction. It has many elements to it working together: men in suits around a table, someone in a data centre, big hands controlling the scenes and holding a phone, people in a production line. Motifs such as network diagrams and melting emojis are placed throughout the busy vignettes.

    Tech Futures: The Fossil Fuels Playbook for Big Tech: Part II

  • Am I Literate? Redefining Literacy in the Age of Artificial Intelligence

    Am I Literate? Redefining Literacy in the Age of Artificial Intelligence

  • AI Policy Corner: Japan’s AI Promotion Act

    AI Policy Corner: Japan’s AI Promotion Act

  • Recess: Is AI in Law School a Helpful Tool or a Hidden Trap?

    Recess: Is AI in Law School a Helpful Tool or a Hidden Trap?

  • The undying sun hangs in the sky, as people gather around signal towers, working through their digital devices.

    Dreams and Realities in Modi's AI Impact Summit

  • Agentic AI systems and algorithmic accountability: a new era of e-commerce

    Agentic AI systems and algorithmic accountability: a new era of e-commerce

  • Regulating computer vision & the ongoing relevance of AI ethics

    Regulating computer vision & the ongoing relevance of AI ethics

  • AI Policy Corner: Transparency in AI Lab Governance: Comparing OpenAI and Anthropic’s Approaches

    AI Policy Corner: Transparency in AI Lab Governance: Comparing OpenAI and Anthropic’s Approaches

Partners

  •  
    U.S. Artificial Intelligence Safety Institute Consortium (AISIC) at NIST

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer


Articles

Columns

AI Literacy

The State of AI Ethics Report


 

About Us


Founded in 2018, the Montreal AI Ethics Institute (MAIEI) is an international non-profit organization equipping citizens concerned about artificial intelligence and its impact on society to take action.

Contact

Donate


  • © 2025 MONTREAL AI ETHICS INSTITUTE.
  • This work is licensed under a Creative Commons Attribution 4.0 International License.
  • Learn more about our open access policy here.
  • Creative Commons License

    Save hours of work and stay on top of Responsible AI research and reporting with our bi-weekly email newsletter.