Vietnam’s New AI Law Balances Innovation Push With Tight State Control
Summary
On March 1, 2026, Vietnam enacted a comprehensive AI law, becoming the first Southeast Asian nation to do so. This legislation, influenced by the EU's AI Act and aiming for a higher safety level than South Korea's framework while promoting development like Japan, is part of Vietnam's "era of national rise" vision for a high-income developed nation by 2045. The law emphasizes human oversight, with AI serving as a support tool for societal decisions. It establishes fault-based liability, prohibits AI exploitation for unlawful purposes, deepfakes to deceive, and forged materials threatening national security. Companies must self-classify AI products into high, medium, or low risk categories, notifying the Ministry of Science and Technology for medium and high-risk systems, which will undergo audits. The law also mandates labeling of AI-generated content and includes provisions to support the domestic AI industry through infrastructure, human resource development, and financial incentives.
Key takeaway
For CTOs and AI/ML directors operating or considering entry into the Vietnamese market, your teams must prioritize understanding and implementing the new AI law's requirements. Focus on establishing clear human accountability for AI system decisions, developing robust risk classification and labeling protocols for all AI-generated content, and preparing for routine audits of medium and high-risk systems. Proactive compliance is crucial to avoid liability and ensure market access, especially given the broad enforcement powers granted to local authorities.
Key insights
Vietnam's new AI law balances innovation with state control, mandating human oversight and risk-based compliance.
Principles
- Human oversight is paramount for AI systems.
- Fault-based liability for AI is a global trend.
- AI laws will be broad and adaptable.
Method
AI companies must self-classify products by risk (high, medium, low), notify the Ministry of Science and Technology for medium/high-risk systems, and label all AI-generated content.
In practice
- Implement robust guardrails for AI systems.
- Establish local contact points for high-risk AI.
- Prepare for diverse global AI regulations.
Topics
- Vietnam AI Law
- AI Regulation
- Digital Sovereignty
- AI Liability
- Risk Classification
Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, AI Product Manager, Legal Professional
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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Policy Press.