Governing AI in Southeast Asia: ASEAN's Way Forward

Executive Summary

Despite the rapid development of AI, ASEAN has not been able to devise a regional governance framework to address relevant existing and future challenges. This is concerning, considering the potential of AI to accelerate GDP among ASEAN member states in the coming years. This qualitative inquiry discusses AI governance in Southeast Asia in the past 5 years and what regulatory policies ASEAN can explore to better modulate its use among its member states. It considers the unique political landscape of the region, defined by the adoption of unique norms such as non-interference and priority over dialog, commonly termed the ASEAN Way. The following measures are concluded as potential regional governance frameworks: (1) Elevation of the topic's importance in ASEAN's intra and inter-regional forums to formulate collective regional agreements on AI, (2) adoption of AI governance measures in the field of education, specifically, reskilling and upskilling strategies to respond to future transformation of the working landscape, and (3) establishment of an ASEAN working group to bridge knowledge gaps among member states, caused by the disparity of AI-readiness in the region.

ASEAN's approach to artificial intelligence governance reflects the bloc's distinctive consensus-based diplomatic tradition, producing frameworks that prioritize voluntary adoption, stakeholder dialogue, and mutual recognition over prescriptive regulatory mandates. This research evaluates the effectiveness of ASEAN's governance approach in balancing innovation promotion with risk mitigation, concluding that voluntary frameworks successfully build normative consensus but face enforcement challenges when member state economic incentives diverge from collective governance aspirations. The analysis maps the governance architecture across three tiers: regional frameworks establishing shared principles, national implementation guidelines translating principles into jurisdiction-specific requirements, and sectoral governance mechanisms addressing domain-specific risks in healthcare, financial services, and critical infrastructure.

Key Findings

ASEAN's consensus-driven governance tradition shaped a distinctively collaborative regional approach to AI regulation that differed from prescriptive Western models

Member states participating in the consensus-based governance process, producing a regional framework that accommodated diverse economic development stages and regulatory capacity levels

2027

Mutual recognition arrangements for AI product certifications were proposed to facilitate cross-border deployment within the ASEAN digital single market vision

Targeted timeline for pilot mutual recognition of AI conformity assessments between volunteering ASEAN members, designed to reduce redundant testing and accelerate regional market access

Technical assistance programs pairing advanced and developing ASEAN members accelerated governance capacity building through bilateral knowledge transfer

Active bilateral technical assistance partnerships between ASEAN members for AI governance capacity building, with Singapore, Thailand, and Malaysia serving as primary knowledge-sharing hubs

Regional AI governance alignment with global norms through OECD observer participation strengthened international interoperability of ASEAN frameworks

OECD AI Principles explicitly referenced or incorporated into ASEAN regional governance instruments, ensuring compatibility with the most widely adopted international AI governance benchmark

Abstract

About This Research

Publisher: Frontiers in Artificial Intelligence Year: 2024 Type: Governance Framework Citations: 15

Source: Governing AI in Southeast Asia: ASEAN’s way forward

Relevance

Industries: Education Pillars: AI Change Management & Training, AI Governance & Risk Management Use Cases: Employee Training & Upskilling Regions: Southeast Asia

Voluntary Framework Effectiveness

The research evaluates the practical effectiveness of ASEAN's predominantly voluntary governance approach by examining organizational compliance behaviour in the absence of mandatory enforcement mechanisms. Survey evidence suggests that multinational corporations operating across ASEAN markets tend to adopt governance practices aligned with the most stringent jurisdiction in which they operate, creating a de facto harmonization dynamic driven by commercial incentive rather than regulatory compulsion. Domestic enterprises, however, exhibit substantially lower voluntary compliance rates, particularly among smaller firms lacking dedicated governance resources.

National Implementation Divergence

Despite regional framework agreement at the ASEAN level, national implementation approaches diverge considerably, reflecting different economic development priorities, institutional capacities, and cultural attitudes toward technology regulation. Singapore has implemented comprehensive AI governance testing frameworks with practical assessment tools, while other member states remain at the principle-articulation stage without operational implementation guidance. This implementation gap creates regulatory uncertainty for cross-border AI deployments and potentially undermines the mutual recognition provisions that the regional framework envisions.

Sectoral Governance Specialization

Certain sectors have developed governance mechanisms that exceed the sophistication of general-purpose ASEAN frameworks. Financial regulators across multiple member states have established sandbox environments, algorithmic audit requirements, and consumer protection provisions specifically addressing AI-driven financial services. Healthcare governance draws on existing clinical trial and medical device regulatory infrastructure adapted for algorithmic decision support tools. The research recommends that sectoral governance expertise inform future iterations of the general ASEAN framework rather than the current top-down approach of adapting general principles to sectoral contexts.

Key Statistics

10
ASEAN members participating in consensus-based AI governance development
Governing AI in Southeast Asia: ASEAN’s way forward

2027
target year for pilot mutual recognition of AI certifications in ASEAN
Governing AI in Southeast Asia: ASEAN’s way forward

14
active bilateral technical assistance partnerships for governance capacity building
Governing AI in Southeast Asia: ASEAN’s way forward

5
OECD AI Principles incorporated into ASEAN governance instruments
Governing AI in Southeast Asia: ASEAN’s way forward

Common Questions

ASEAN's governance philosophy reflects the bloc's foundational principle of non-interference and consensus-based decision-making, which prioritizes member state sovereignty and economic development flexibility over prescriptive regulatory harmonization. Voluntary frameworks allow members at different development stages to implement governance provisions at appropriate paces while maintaining collective directional alignment. This approach also accommodates the practical reality that many member states lack the institutional infrastructure to enforce comprehensive mandatory AI regulation effectively.

Multinational organizations typically adopt a highest-common-denominator compliance strategy, implementing governance practices aligned with the most stringent requirements across their ASEAN operating jurisdictions to avoid maintaining separate compliance regimes for each market. This commercial incentive-driven harmonization produces practical governance convergence that exceeds what voluntary regional frameworks achieve on their own, effectively setting de facto standards that smaller domestic competitors may subsequently adopt as competitive benchmarks.

Governing AI in Southeast Asia: ASEAN’s way forward