Global AI law and policy tracker: Highlights and takeaways

Global AI law and policy tracker: Highlights and takeaways

https://iapp.org/news/a/global-ai-law-and-policy-tracker-highlights-and-takeaways

Publish Date: 2026-02-04 09:55:00

Source Domain: iapp.org

Here is a summary of the article, highlighting between 4 and 8 key points:

1. Legislation and Governance: The race to create policies that manage the rapid advances in artificial intelligence (AI) is ongoing globally. The EU’s AI Act of 2024 was a significant milestone, but many nations are now choosing more restrained regulations to promote both competition and innovation.

2. Emerging Legal Frameworks: Several countries are actively progressing with new AI regulations. South Korea’s AI Framework Act, Japan’s AI Promotion Act, and China’s AI Labeling Rules are examples that highlight an increased trend toward specific regulatory measures for AI development and usage.

3. Focus on Standards: As formal laws advance at different paces, many countries are also forming operational standards for AI. Canada’s AI standardization efforts and Australia’s Voluntary AI Safety Standards illustrate how standards are positioned to fill gaps left by varying legal approaches.

4. Investment in AI Hubs: Alongside legislation, nations are bolstering infrastructure to attract AI investments. Countries like Chile, Brazil, UAE, and Saudi Arabia are positioning themselves as AI hubs through investments in infrastructure, regulatory frameworks, and startup support.

5. Deregulatory Movements: There’s a noticeable push towards deregulation to stimulate AI innovation. The EU’s discussion around postponing the AI Act implementation and the U.S. executive orders aimed at reducing regulatory barriers highlight a global trend to strike a balance between regulation and freedom.

6. International Cooperation: International diplomacy and collaboration on AI governance are significant as countries continue to work together to establish common regulatory and safety standards. Initiatives involving the U.S., Singapore, Brazil, and the U.K. demonstrate the importance of global partnerships.

7. Copyright Issues: The use of copyrighted data to train AI systems continues to elicit debate, with legal initiatives in Hong Kong, the U.S., and Japan working through the nuances of permissible uses and exceptions under copyright laws.

8. Continuous Policy Evolution: Regardless of the regulatory and deregulatory trends, the landscape of AI governance is constantly evolving. Various countries are testing new models, addressing both the risks and benefits of AI, and adjusting their policies and standards to ensure they remain effective and balanced.

For ongoing updates on these developments, the IAPP’s Global AI Law and Policy Tracker is recommended for reference.