• 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: Japan’s AI Promotion Act

July 21, 2025

✍️ By Selen Dogan Kosterit.

Selen is a PhD Student in Political Science and a Graduate Affiliate 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 spotlights Japan’s AI Promotion Act, which was enacted in May 2025.


Japan’s AI Promotion Act

The National Diet of Japan passed its first comprehensive AI legislation, titled “Act on Promotion of Research and Development and Application of AI-Related Technologies,” in May 2025 (hereinafter referred to as Japan’s AI Promotion Act).

The Act aims to promote the research, development and utilization of AI-related technologies to foster economic growth.

Background

In early 2024, the Japanese government signaled a preference for strong AI regulation, which was in line with international developments at the time (e.g., Biden’s AI executive order and the EU AI Act). However, as major countries began to view strict regulatory frameworks as a barrier to AI innovation, Japan’s perspective on AI governance also shifted. As a result, Japan’s AI Promotion Act reflects this change in stance, with the Japanese government now supporting a light-touch approach to AI regulation and aspiring “to become the most AI-friendly country in the world.” Furthermore, the innovation-focused nature of the Act mirrors the government’s growing concerns about falling behind global peers.

Summary of Japan’s AI Promotion Act

Basic Principles: The Act establishes basic principles for policies regarding AI-related technologies. These include aligning with existing national frameworks, maintaining domestic R&D capabilities and enhancing international competitiveness to support socio-economic development and national security, promoting coordinated efforts among various stakeholders in a comprehensive and systematic way, ensuring transparency to prevent misuse that could harm public safety or citizen rights, and actively pursuing international cooperation.

Responsibilities of relevant entities: While the government is responsible for formulating and implementing AI policies in accordance with the basic principles, other entities (such as research institutions, businesses utilizing AI, and citizens) are obligated to cooperate with the measures implemented by the government.  

Basic Measures: The basic measures in the Act include promoting R&D efforts, developing infrastructure and facilities, ensuring proper implementation by establishing guidelines aligned with international standards, securing and training human resources, promoting education to enhance public interest and understanding, collecting information on AI-related trends, investigating cases in which citizen rights and interests were infringed due to AI misuse and taking appropriate countermeasures, conducting surveys and research to support AI promotion, providing guidance and advice to relevant entities, and participating in the formulation of international standards.

AI Strategy Headquarters and Basic Plan for AI: The Act establishes an AI Strategy Headquarters within the Cabinet, led by the Prime Minister and composed of all Cabinet ministers as members. The Headquarters is responsible for preparing and implementing a Basic Plan for AI.

Policy Gaps and Further Considerations

Supplementary resolution regarding deepfakes: Following the passage of the AI Promotion Act, both the lower and upper chambers of the National Diet adopted a non-binding supplementary resolution addressing concerns about the misuse of generative AI. The resolution urges the government to adopt stronger measures against deepfakes and other harmful applications.

No penalties for non-compliance: As outlined in the responsibilities of relevant entities, the AI Promotion Act expects businesses to cooperate with the measures implemented by the government. Nevertheless, the Act does not impose any penalties for non-compliance. Instead, the government is authorized to launch investigations and take countermeasures when citizen rights and interests are infringed.

Many sources suggest that the government is likely to follow a ‘naming and shaming’ approach by revealing the names of non-compliant businesses in such cases. Therefore, businesses might still be discouraged from the misuse of AI due to reputational concerns. In fact, some experts highlight that not including a rules-enforcement mechanism in the Act is an intentional move to avoid discouraging investment.

Further Reading

  1. AI Guidelines for Business Version 1.0
  2. AI Guidelines for Business Version 1.1
  3. The Hiroshima AI Process
  4. Basic Act on the Formation of a Digital Society
  5. Basic Act on Science, Technology, and Innovation

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

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

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

related posts

  • “A Proposal for Identifying and Managing Bias in Artificial Intelligence”. A draft from the NIST

    “A Proposal for Identifying and Managing Bias in Artificial Intelligence”. A draft from the NIST

  • Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

    Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

  • Bridging the Gap: Addressing the Legislative Gap Surrounding Non-Consensual Deepfakes

    Bridging the Gap: Addressing the Legislative Gap Surrounding Non-Consensual Deepfakes

  • Research summary: Algorithmic Injustices towards a Relational Ethics

    Research summary: Algorithmic Injustices towards a Relational Ethics

  • AI Policy Corner: U.S. Copyright Guidance on Works Created with AI

    AI Policy Corner: U.S. Copyright Guidance on Works Created with AI

  • Research summary: Mass Incarceration and the Future of AI

    Research summary: Mass Incarceration and the Future of AI

  • The Ethics of AI in Finance

    The Ethics of AI in Finance

  • A Critical Analysis of the What3Words Geocoding Algorithm

    A Critical Analysis of the What3Words Geocoding Algorithm

  • Russia’s Artificial Intelligence Strategy: The Role of State-Owned Firms

    Russia’s Artificial Intelligence Strategy: The Role of State-Owned Firms

  • On the Actionability of Outcome Prediction

    On the Actionability of Outcome Prediction

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.