Thailand - AI Law Principles (2025)

Draft Principles for AI Legislation

Draft Principles for AI Legislation (Draft Principles of the AI Law)

Thailand

RAI-TH-NA-DPALDXX-2025
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Draft(Being written or scoped)As published at bit.ly · checked 10 Sep 2026

Thailand - AI Law Principles (2025) is Draft in Thailand as of 10 Sep 2026, according to bit.ly.

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The Draft Principles for AI Legislation is a risk‑based framework circulated by Thailand's Electronic Transactions Development Agency (ETDA) in mid‑2025 to guide a national AI law. It emphasises categorising AI according to risk (including 'prohibited' and 'high‑risk' tiers), imposing duties on providers and deployers (risk management, human oversight, incident reporting), and enabling sectoral regulators while supporting innovation through sandboxes and safe‑harbour measures.

Summary

Background and objective: In 2025 the Electronic Transactions Development Agency (ETDA), working with the Ministry of Digital Economy and Society (MDES) and sectoral regulators, circulated a consolidated 'Draft Principles of the AI Law' for public consultation. The Draft Principles seek to reconcile two policy goals: (1) protect fundamental rights, safety and public order by regulating high‑risk and prohibited AI uses; and (2) support innovation, competitiveness and responsible AI development through measures such as regulatory sandboxes and safe harbours. The text is positioned as a principles‑level instrument that will inform a later primary law (Bill) and subordinate rules. Structure and approach: The Draft Principles adopt a risk‑based architecture informed by international models (notably the EU AI Act) and by Thailand's existing sectoral guidance. It sets out two headline categories: (a) prohibited‑risk AI (uses that will be banned or tightly restricted because risks cannot be sufficiently mitigated), and (b) high‑risk AI (permitted only subject to enhanced governance duties). Rather than listing every high‑risk use in the primary text, the Draft Principles empower an enforcement agency and sectoral regulators to identify, classify and publish lists by regulation, enabling context‑sensitive calibration. Core duties and obligations: For high‑risk AI, the Draft Principles articulate duties for providers and deployers that typically include: implementation of an enterprise risk management framework (references to ISO/IEC 42001 and NIST RMF appear in explanatory materials), human oversight and human‑in‑the‑loop measures, technical and organisational data governance measures, incident reporting and post‑market monitoring, documentation and technical records (logs, model cards), transparency and user information, registration or notification to authorities for certain high‑risk systems, and appointment of a local legal representative for foreign providers. Innovation safeguards: The Draft Principles preserves policy space for innovation through regulatory sandboxes, safe harbour protections for sandbox participants acting in good faith (limited immunities during testing, but not for civil damages to third parties), support for research activities (text and data mining exceptions), and public‑private cooperation mechanisms (Centers of Excellence, AIGC advisory mechanisms). Enforcement and remedies: Enforcement powers proposed include administrative orders (cease & desist), instructions to platforms to remove or block access, seizure of noncompliant physical items embedding prohibited AI, fines and other penalties under subordinate rules, and civil liability for damages. The Draft Principles also signal coordination with sectoral regulators (Bank of Thailand, SEC, Office of Insurance Commission, health regulators) for domain‑specific rules. International alignment: The Draft Principles explicitly reference international standards and the EU AI Act architecture while keeping flexibility for Thailand’s local needs. Implementation process: ETDA held explanatory sessions (May 2, 2025), opened a public consultation in May–June 2025 (closed June 9, 2025) and announced plans to revise and submit the consolidated draft for Cabinet review (targeted for summer 2025). Policy implications: Entities operating, deploying, importing or selling AI systems that interact with Thai users should prepare by mapping AI inventories, classifying use cases by risk, strengthening governance and incident‑response processes, and preparing registration/notification and documentation. The Draft Principles are a living instrument: ETDA anticipates subordinate regulations, sectoral codes, and further rounds of consultation before a final Bill is tabled.

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Overview

The Electronic Transactions Development Agency (ETDA), working with the Ministry of Digital Economy and Society (MDES), circulated a consolidated set of 'Draft Principles of the AI Law' in May 2025 and held an explanatory session on 2 May 2025. The Draft Principles set out a risk‑based regulatory architecture—distinguishing prohibited‑risk and high‑risk AI—while retaining measures to promote innovation such as regulatory sandboxes and safe‑harbour protections. ETDA opened a public consultation that closed on 9 June 2025 via the national legal comment system (central submission link published during the hearing). The instrument is positioned as a principles level foundation for a subsequent Bill and subordinate rules that will be coordinated with sectoral regulators (for example, the Bank of Thailand and the Securities and Exchange Commission) and international standards. The English commentary and multiple legal firm briefings (e.g., Tilleke & Gibbins, Norton Rose Fulbright) summarise the Draft Principles' main thrust and timeline.

Definitions

The Draft Principles define key concepts to anchor duties and enforcement. Typical definitions include: 'AI system' (broad functional definition covering machine learning and other automated decision systems), 'AI provider' (entity that develops or supplies an AI system), 'AI deployer' (entity that integrates or uses an AI system in a service or product), 'high‑risk AI' (systems that may impact fundamental rights, safety or health), and 'prohibited‑risk AI' (uses with unacceptable risk). Other terms cover 'human oversight', 'technical documentation', 'serious incident', 'training data', and 'model card'. These definitions are drafted to enable delegation: the primary text sets the conceptual buckets and authorises sectoral regulators to give detailed, contextual definitions in subordinate instruments.

Governance and Institutional Framework

The Draft Principles create a two‑tier governance model. At the centre is a designated enforcement authority (ETDA is described as the coordinating regulator for digital services) with powers to oversee AI law implementation across sectors. Sectoral regulators (e.g., the Bank of Thailand, the Securities and Exchange Commission, health regulators) retain authority to issue sector‑specific lists, codes of practice and technical standards for high‑risk AI in their domains. The principles also propose creating supporting bodies (an AI Governance Center / Centers of Excellence) to provide technical guidance, testing facilities and capacity building. Coordination mechanisms—inter‑agency committees, a central registry or notification portal, and formal consultation loops—are included so decisions on classification, enforcement, and standard setting are harmonised. The governance design emphasises flexibility so that subordinate regulations and codes can evolve rapidly without requiring primary law amendments.

Key Focus Areas

The Draft Principles emphasise five core focus areas: (1) risk management (obligations to implement risk frameworks and documentation for high‑risk systems, referencing ISO/IEC 42001 and NIST approaches in explanatory notes); (2) transparency and user information (requirements for clear, accessible notices and the right to explanation/appeal for AI‑driven administrative or critical decisions); (3) human oversight and governance (obligations to retain human accountability and safeguards against undue automation); (4) data governance and privacy (data minimisation, lawful bases for training data, permitted Text & Data Mining and protections for personal data consistent with Thailand's PDPA); and (5) safety, testing and post‑market monitoring (pre‑deployment testing, conformity assessment for certain categories, incident reporting and continuous evaluation). The Draft Principles also address innovation policy—permitting regulatory sandboxes with a safe‑harbour for participants acting in good faith, while reserving civil liability for harms to third parties. The instrument contemplates administrative tools: registration/notification of certain AI systems, mandatory model documentation (model cards, risk assessments), and obligations to appoint a local representative where the provider is outside Thailand.

Implementation Framework

Implementation is staged: the Draft Principles provide the architecture and empower ETDA and sectoral regulators to issue detailed subordinate rules, lists of prohibited/high‑risk systems, technical standards, and conformity assessment procedures. The Draft Principles expect: (a) guidance and codes of practice from sectoral regulators tailored to domain risk profiles; (b) mandatory registration/notification for identified high‑risk systems; (c) conformity assessment and certification for some categories (self‑assessment for lower tiers; third‑party assessment for higher tiers); and (d) operational requirements for incident reporting, audits, data retention and transparency. To reduce compliance costs and support SMEs and startups, the Draft Principles formalise sandboxes, provide time‑limited tolerances for experimental testing, and indicate a staged enforcement approach that prioritises corrective measures before sanctions for first‑time or minor breaches.

Monitoring and Evaluation

Monitoring combines proactive and reactive elements: centralized logs/registries for notified systems, mandatory reporting of serious incidents to the enforcement authority, post‑market surveillance obligations for providers and deployers, and periodic audits. ETDA envisages using compliance metrics, sectoral surveillance, and co‑regulation arrangements to evaluate impact. The Draft Principles require providers to maintain technical documentation to support audits (data provenance, training sets, model versions, evaluation metrics, mitigation measures) and to cooperate with enforcement investigations. Annual reporting and review cycles are anticipated to identify gaps and trigger updates to the prohibited/high‑risk lists and subordinate rules.

Penalties, Liability, and Appeals

The Draft Principles create an administrative enforcement toolbox: orders to suspend or cease provisioning of AI services, platform takedown and blocking where non‑compliance persists, seizure of physical goods embedding prohibited systems, administrative fines (quantums and calculation bases left to subordinate rules), and coordination with criminal law where conduct violates other statutes. Civil liability for damages remains available to harmed parties; the Draft Principles clarify that safe‑harbour protections for sandbox participants do not eliminate civil liability to third parties. A formal appeals process against administrative measures is provided (internal review and judicial challenge), and sectoral regulators may retain parallel sanctioning powers for regulated entities.

Relationship to Other Instruments

The Draft Principles are designed to sit alongside Thailand's Personal Data Protection Act (PDPA), existing telecommunications and cybersecurity laws, consumer protection statutes, and sectoral regulatory frameworks (finance, securities, healthcare, insurance). It explicitly authorises subordinate regulations to coordinate with the PDPA and with sectoral regulators' supervisory frameworks. The instrument also supports alignment and mutual recognition with international conformity assessment where appropriate—enabling Thai certification to lean on recognised international test standards.

International Alignment

The Draft Principles explicitly reference international models (notably the EU AI Act architecture) and technical standards such as ISO/IEC 42001, and invites cross‑border cooperation. The approach seeks alignment where helpful (risk categories, terminology, standards) while reserving policy space for Thailand‑specific instruments (e.g., data‑sharing with public sector partners, local representative requirements). ETDA's explanatory materials and public consultations referenced comparative studies and legal firm analyses, acknowledging the value of harmonisation for trade, interoperability and investor certainty. Thailand also signals intent to participate in multilateral dialogues (APEC, UNESCO forum) on AI governance.

Implementation Timeline

MilestoneDate
ETDA explanatory session (public briefing)2025-05-02
Public consultation open (draft principles published)2025-05-02
Public consultation closed2025-06-09
Revisions and inter‑agency coordinationSummer 2025 (target July/August 2025)
Planned submission to Cabinet (announced target)By end of July 2025 (reported target)
Expected rounds of subordinate regulation and sectoral codesLate 2025 – 2026 (phased)

Sources and References

SourceType
ETDA: "เปิดบทบาท ETDA ในวันที่ AI ขับเคลื่อนไทย" (ETDA press materials & AI governance statements)Primary Source
ETDA: "AI Governance Clinic by ETDA" (AIGC and program pages)Primary Source
Central consultation portal (link reported in press coverage for public comments)Primary Source (consultation portal referenced)
Tilleke & Gibbins: Thailand Resumes Development of AI Regulatory Framework (legal analysis)Secondary Source
Norton Rose Fulbright: Thailand’s draft AI law — analysisSecondary Source

Requirements for a company

What an organisation has to do under Thailand - AI Law Principles (2025), at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Not yet in force (Draft). These requirements apply once the instrument takes effect and may change before then.

Must do

13
  • Do not develop, provide, or deploy AI systems classified as prohibited-risk.All entities developing, providing, or deploying AI systems.
  • Ensure compliance with the PDPA and establish lawful bases for AI training data.Providers and deployers of AI systems.
  • Classify AI systems by risk profile and prepare evidence for this classification.Providers and deployers of AI systems.
  • Implement a formal risk management framework and retain all related records.Providers and deployers of high-risk AI systems.
  • Register or notify identified high-risk AI systems with the designated authority.Providers of high-risk AI systems.
  • Establish workflows for detecting and reporting serious AI incidents to the enforcement authority.Providers and deployers of AI systems.
  • +7 more in the table below

Must not do

0

Nothing in this category.

Should do

1
  • Utilize regulatory sandboxes and secure safe-harbour measures when available.Innovators and developers of AI systems.

Should not do

0

Nothing in this category.

Who must do what

The obligations under Thailand - AI Law Principles (2025), most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1All entities developing, providing, or deploying AI systems.Do not develop, provide, or deploy AI systems classified as prohibited-risk.
“distinguishing prohibited‑risk and high‑risk AI”
——Critical
2Providers and deployers of AI systems.Ensure compliance with the PDPA and establish lawful bases for AI training data.
“protections for personal data consistent with Thailand's PDPA”
——Critical
3Providers and deployers of AI systems.Classify AI systems by risk profile and prepare evidence for this classification.
“distinguishing prohibited‑risk and high‑risk AI”
——Critical
4Providers and deployers of high-risk AI systems.Implement a formal risk management framework and retain all related records.
“obligations to implement risk frameworks and documentation for high‑risk systems”
——Critical
5Providers of high-risk AI systems.Register or notify identified high-risk AI systems with the designated authority.
“mandatory registration/notification for identified high‑risk systems”
——Critical
6Providers and deployers of AI systems.Establish workflows for detecting and reporting serious AI incidents to the enforcement authority.
“mandatory reporting of serious incidents to the enforcement authority”
——Critical
7Providers and deployers of AI systems.Cooperate fully with enforcement investigations and audits.
“cooperate with enforcement investigations”
——Critical
8Providers and deployers of AI systems.Design and test human-in-the-loop controls and escalation procedures.
“obligations to retain human accountability and safeguards against undue automation”
——Important
9Providers of AI systems.Maintain comprehensive technical documentation, model cards, and logs for audits.
“mandatory model documentation (model cards, risk assessments) and providers to maintain technical documentation to support audits”
——Important
10Providers and deployers of AI systems impacting fundamental rights, safety, or health.Provide clear, accessible notices and enable rights to explanation or appeal for AI-driven decisions.
“requirements for clear, accessible notices and the right to explanation/appeal for AI‑driven administrative or critical decisions”
——Important
11Providers of AI systems, especially high-risk ones.Conduct pre-deployment testing and conformity assessments for AI systems.
“pre‑deployment testing, conformity assessment for certain categories”
——Important
12Providers and deployers of AI systems.Implement continuous post-market surveillance and evaluation for AI systems.
“post‑market surveillance obligations for providers and deployers, and periodic audits.”
——Important
13AI providers located outside Thailand.Appoint a local representative in Thailand if the provider is outside the country.
“obligations to appoint a local representative where the provider is outside Thailand”
——Important
14Innovators and developers of AI systems.Utilize regulatory sandboxes and secure safe-harbour measures when available.
“permitting regulatory sandboxes with a safe‑harbour for participants acting in good faith”
——Recommended

© Regulations.AI · updated on 20 Sep 2026 · reviewed against official sources on 10 Sep 2026