What is Vietnam AI Law 2025?
Vietnam AI Law 2025 (Law No. 134/2025 on Digital Technology Industry) includes provisions governing AI development and deployment, establishing requirements for AI governance, transparency, accountability, and safety. The law positions Vietnam to regulate AI while promoting innovation in digital technology sector.
This glossary term is currently being developed. Detailed content covering regulatory requirements, compliance obligations, implementation guidance, and business implications will be added soon. For immediate assistance with this regulation or compliance requirement, please contact Pertama Partners for advisory services.
Understanding and complying with this regulation is critical for organizations operating in the relevant jurisdiction. Non-compliance can result in significant penalties, legal liability, and reputational damage.
- Recent legislation - implementation guidance evolving.
- Covers AI governance and accountability.
- Mandatory risk categorization for AI systems mirrors EU tiering; firms operating across both jurisdictions can harmonize assessment workflows.
- Domestic testing facility requirements for high-risk applications may necessitate partnerships with Vietnamese research institutions.
- Public consultation periods on implementing decrees offer industry stakeholders windows to shape practical compliance interpretation.
- Mandatory risk categorization for AI systems mirrors EU tiering; firms operating across both jurisdictions can harmonize assessment workflows.
- Domestic testing facility requirements for high-risk applications may necessitate partnerships with Vietnamese research institutions.
- Public consultation periods on implementing decrees offer industry stakeholders windows to shape practical compliance interpretation.
Common Questions
What organizations does this regulation apply to?
Application scope varies by regulation. Typically includes organizations processing personal data, deploying AI systems, or operating in regulated sectors. Consult legal counsel for specific applicability.
What are the penalties for non-compliance?
Penalties vary by jurisdiction and violation severity, ranging from warnings to substantial fines and operational restrictions. Review specific regulation for penalty provisions.
More Questions
Implement comprehensive compliance program including policy development, technical controls, staff training, regular audits, and ongoing monitoring. Consider engaging compliance advisors for complex requirements.
Companies must classify AI systems by risk level, implement transparency measures for consumer-facing AI, and maintain documentation of training data sources and model performance metrics. High-risk AI applications in healthcare, finance, and public services require government registration and periodic safety assessments. Foreign providers must designate local representatives for regulatory communication.
Conduct an inventory of all AI systems deployed in or serving Vietnamese users, classify each by the law's risk tiers, and assess gaps in documentation and transparency requirements. Establish relationships with local legal counsel experienced in Vietnam's digital economy regulations. Budget for compliance infrastructure including audit trails, model documentation systems, and Vietnamese-language disclosure mechanisms.
Companies must classify AI systems by risk level, implement transparency measures for consumer-facing AI, and maintain documentation of training data sources and model performance metrics. High-risk AI applications in healthcare, finance, and public services require government registration and periodic safety assessments. Foreign providers must designate local representatives for regulatory communication.
Conduct an inventory of all AI systems deployed in or serving Vietnamese users, classify each by the law's risk tiers, and assess gaps in documentation and transparency requirements. Establish relationships with local legal counsel experienced in Vietnam's digital economy regulations. Budget for compliance infrastructure including audit trails, model documentation systems, and Vietnamese-language disclosure mechanisms.
Companies must classify AI systems by risk level, implement transparency measures for consumer-facing AI, and maintain documentation of training data sources and model performance metrics. High-risk AI applications in healthcare, finance, and public services require government registration and periodic safety assessments. Foreign providers must designate local representatives for regulatory communication.
Conduct an inventory of all AI systems deployed in or serving Vietnamese users, classify each by the law's risk tiers, and assess gaps in documentation and transparency requirements. Establish relationships with local legal counsel experienced in Vietnam's digital economy regulations. Budget for compliance infrastructure including audit trails, model documentation systems, and Vietnamese-language disclosure mechanisms.
References
- NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology (NIST) (2023). View source
- Stanford HAI AI Index Report 2025. Stanford Institute for Human-Centered AI (2025). View source
- EU AI Act — Regulatory Framework for Artificial Intelligence. European Commission (2024). View source
- NIST AI Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology (NIST) (2023). View source
- Singapore's Approach to AI Governance — Model AI Governance Framework. Personal Data Protection Commission (PDPC), Singapore (2024). View source
- AI Regulation: A Pro-Innovation Approach. UK Department for Science, Innovation and Technology (2023). View source
- Artificial Intelligence and Data Act (AIDA). Government of Canada (2024). View source
- Brazil AI Act: Senate Advances Bill to Regulate AI Use. Library of Congress / Brazilian Federal Senate (2024). View source
- Understanding AI Regulations in Japan: Current Status and Future Prospects. DLA Piper (2024). View source
- Global AI Governance Law and Policy: Japan. International Association of Privacy Professionals (IAPP) (2024). View source
Indonesia Presidential Regulation on AI establishes national framework for AI governance, development priorities, and ethical standards. The regulation promotes responsible AI innovation aligned with Pancasila values while supporting Indonesia's digital economy ambitions and national AI strategy implementation.
OJK (Otoritas Jasa Keuangan) AI Code of Ethics provides principles for Indonesian financial institutions deploying AI and advanced analytics, covering fairness, transparency, accountability, data privacy, and consumer protection. The code ensures AI deployment in Indonesia's financial sector maintains integrity and public trust.
Indonesia Data Protection Authority is the designated enforcement body for Indonesia's PDP Law, responsible for overseeing compliance, investigating violations, and protecting data subject rights. The authority will issue regulations, conduct audits, and impose penalties for data protection breaches.
POJK 22 (OJK Regulation 22) addresses consumer protection in Indonesian financial services, including provisions relevant to AI-driven decisions, algorithmic transparency, and automated customer interactions. The regulation ensures financial institutions maintain fair and transparent practices when deploying AI systems affecting consumers.
Philippines Data Privacy Act (DPA 2012) is the Philippines' comprehensive data protection law establishing principles for lawful personal data processing, data subject rights, and controller/processor obligations. The Act applies to AI systems processing Filipino personal data and requires organizations to implement security measures and accountability mechanisms.
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