Artificial Intelligence (AI) is increasingly influencing various sectors such as healthcare and finance, necessitating effective regulation to ensure ethical and transparent use. Different regions are adopting unique approaches to AI governance, with the EU establishing comprehensive laws while the U.S. relies on sector-specific guidelines.
The EU’s Artificial Intelligence Act aims to establish a global standard for AI regulation, potentially reflecting the ‘Brussels effect.’ However, the paper argues that its procedural and experimentalist approach may lead to a more cooperative regulatory landscape rather than a dominant framework for AI governance worldwide.
Australia’s Treasurer Jim Chalmers announced a review of artificial intelligence regulation to assess whether new laws are necessary or if existing ones suffice. The government aims to accelerate a national development plan for AI, recognizing its potential to boost labor productivity, although experts warn that the benefits may not be evenly distributed.
The Association of Southeast Asian Nations (ASEAN) is making progress toward AI governance through an innovation-friendly approach, but growing AI-related risks highlight the need for more binding regulations. This brief examines ASEAN’s collective efforts in AI regulation and the varying domestic strategies of its member states.
The United Nations General Assembly has adopted a resolution to establish an Independent International Scientific Panel on Artificial Intelligence and a Global Dialogue on AI Governance. This initiative aims to promote scientific understanding, facilitate international cooperation, and address the implications of AI while supporting the UN’s Sustainable Development Goals.
In July, both the United States and China unveiled their national AI Action Plans, showcasing different approaches to AI development and governance. Despite their contrasting ideologies, the two nations are converging on similar strategies to accelerate domestic AI adoption, promote global diffusion, and manage AI risks without hindering innovation.
The article discusses the significant regulatory uncertainty surrounding global AI oversight and the importance of building governance frameworks to manage AI risks. Michael Berger from Munich Re emphasizes that organizations must actively define risk tolerance and diversify AI models to mitigate systemic biases and operational errors.
At the recent G7 summit in Canada, discussions primarily focused on economic opportunities related to AI, while governance issues for AI systems were notably overlooked. This shift towards prioritizing AI innovation and competition raises concerns about the risks associated with advanced AI capabilities that no single nation can manage alone.
At the Internet Governance Forum (IGF) 2025 in Oslo, African leaders called for urgent action to develop sovereign and ethical AI systems tailored to local needs, emphasizing the necessity for fairness, transparency, and inclusion. Over 1,000 African startups relying on foreign AI models raise concerns about digital dependency, highlighting the need for transparent governance frameworks and local AI development.
As the US-China tech rivalry intensifies, a UN agency is advocating for global AI ethics standards, highlighted during UNESCO’s Global Forum on the Ethics of Artificial Intelligence in Bangkok. Despite the absence of major AI companies and delegations from the US and China, over 1,000 participants discussed the importance of collaborative frameworks to ensure AI serves the collective good.