Southeast Asia’s Unique Approach to AI Safety Governance

AI Safety Governance: The Southeast Asian Approach

The conversation surrounding AI safety is predominantly influenced by the perspectives of the United States, Europe, and China. However, the voices from Southeast Asia remain underrepresented in the global discourse on AI governance. Despite this, many Southeast Asian countries have made significant advancements in digital and AI policy, recognizing the potential of AI while adopting pragmatic strategies for its safe development.

Current Developments in AI Governance Across Southeast Asia

This report outlines recent trends in AI governance across 11 Southeast Asian nations, including Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Timor-Leste, and Vietnam.

Through six roundtable discussions organized by AI Safety Asia (AISA), stakeholders from various sectors—government, private, academic, and civil society—convened to share insights and identify regional priority areas for the Association of Southeast Asian Nations (ASEAN). These discussions facilitated the development of comprehensive strategies aimed at enhancing AI safety over the next five years.

Harmonizing Approaches and Building Capacity

To mitigate friction arising from differing national strategies, it is essential for ASEAN to harmonize its approaches and strengthen cooperation in areas such as capacity building, research, and catastrophic risk management. National governments can pursue impactful strategies while actively engaging with regional and international partners.

Challenges and Gaps in AI Policy

The report highlights several persistent challenges in AI policy across the region, notably the need for national AI risk management plans. Addressing these gaps is crucial for the advancement of a coherent and effective AI governance framework.

Context-Aware AI Governance

The Southeast Asian approach to AI governance offers valuable lessons for other global majority countries. The region’s cultural diversity and varying levels of development have led to a context-aware strategy that emphasizes:

  • Open-source AI development
  • Multilingual large language models (LLMs)
  • Inclusive AI governance processes

These priorities ensure that AI policies are tailored to the unique needs and circumstances of the region.

A Call to Action

This report serves as a call to action for Southeast Asian nations to close significant policy gaps, fostering an inclusive, safe, and innovative AI future. By leveraging their unique context and collaborative potential, these countries can contribute meaningfully to the global dialogue on AI safety governance.

For a detailed exploration of the findings and recommendations, the full report is available for download.

More Insights

AI Regulations: Comparing the EU’s AI Act with Australia’s Approach

Global companies need to navigate the differing AI regulations in the European Union and Australia, with the EU's AI Act setting stringent requirements based on risk levels, while Australia adopts a...

Quebec’s New AI Guidelines for Higher Education

Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and...

AI Literacy: The Compliance Imperative for Businesses

As AI adoption accelerates, regulatory expectations are rising, particularly with the EU's AI Act, which mandates that all staff must be AI literate. This article emphasizes the importance of...

Germany’s Approach to Implementing the AI Act

Germany is moving forward with the implementation of the EU AI Act, designating the Federal Network Agency (BNetzA) as the central authority for monitoring compliance and promoting innovation. The...

Global Call for AI Safety Standards by 2026

World leaders and AI pioneers are calling on the United Nations to implement binding global safeguards for artificial intelligence by 2026. This initiative aims to address the growing concerns...

Governance in the Era of AI and Zero Trust

In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy...

AI Governance Shift: From Regulation to Technical Secretariat

The upcoming governance framework on artificial intelligence in India may introduce a "technical secretariat" to coordinate AI policies across government departments, moving away from the previous...

AI Safety as a Catalyst for Innovation in Global Majority Nations

The commentary discusses the tension between regulating AI for safety and promoting innovation, emphasizing that investments in AI safety and security can foster sustainable development in Global...

ASEAN’s AI Governance: Charting a Distinct Path

ASEAN's approach to AI governance is characterized by a consensus-driven, voluntary, and principles-based framework that allows member states to navigate their unique challenges and capacities...