Thailand’s Securities and Exchange Commission (SEC) has established a comprehensive governance framework for the use of artificial intelligence and machine learning (AI/ML) in the capital markets. The framework provides guidance to capital market business operators on understanding the risks associated with AI/ML implementation and adopting appropriate practices to build public confidence in Thailand’s capital markets. While the guidelines are principle-based rather than prescriptive, they reflect the SEC’s expectations for responsible AI/ML governance and are likely to inform supervisory activities and industry standards going forward. Scope The framework applies to capital market business operators supervised by the SEC. This includes, for example, securities and derivatives firms, asset management companies, mutual fund and private fund managers, investment advisors and investment consultants (including robo-advisory service providers), derivatives intermediaries, and other licensed intermediaries and market operators in the Thai capital markets that deploy AI/ML in their operations. Core Principles of the Guidelines The framework is presented as a best-practice manual rather than prescriptive regulation, providing guidance that regulated entities may apply to their AI/ML governance and risk management as appropriate. While currently nonbinding, the guidelines signal the SEC’s expectations for the sector, particularly in relation to other binding SEC regulations such as those covering IT risk management and market conduct. The guidelines name four core principles for AI/ML deployment: Fairness: Design and develop AI/ML with consideration for fairness, equality, and social diversity to prevent discrimination against individuals or groups. Legal and ethical compliance: Ensure AI/ML use aligns with applicable laws, ethical standards, and organizational values and policies. Accountability: Establish clear responsibility—both internally and externally—for AI/ML activities and outcomes. Transparency: Provide adequate disclosure to users about AI/ML use, including explainability of decisions and traceability of activities. AI/ML Best Practices The guidelines prescribe best practices across four stages of the AI/ML lifecycle, as described below.

Thailand’s Personal Data Protection Act (PDPA) enforcement has entered a new phase, and the insurance industry is squarely in the regulatory spotlight. The Personal Data Protection Committee (PDPC) considers insurers “large-scale” processors of sensitive data—including health records, financial information, and biometric data—making the sector a focal point for enforcement action. In August 2025 alone, the PDPC issued administrative fines totaling THB 21.5 million, and fines for individual violations have ranged from THB 50,000 to THB 2 million. The PDPC has also deployed its “Eagle Eye Crawler,” an AI-driven surveillance tool that monitors websites around the clock for data leaks and noncompliant privacy notices. This article highlights the key regulatory developments directly affecting insurers and outlines practical steps toward compliance. What Has Changed: OIC and PDPC Alignment The Office of Insurance Commission (OIC) has synchronized its sector-specific rules with the PDPA through the Notification on Customer Personal Data Protection (No. 2) B.E. 2568 (2025). The combined effect of the PDPC’s general enforcement push and the OIC’s sectoral guidance creates four critical compliance areas for insurers. Consent unbundling. Consent for marketing must be strictly separated from the core insurance contract; bundling marketing consent into the policy application is no longer permissible. Agent and intermediary oversight. Insurance intermediaries are generally classified as data processors, meaning that insurers—as data controllers—must provide specific written instructions and security protocols to all agents and brokers. A 2026 enforcement trend shows controllers being held liable for the “weak security” of their vendors and downstream processors. Enhanced privacy notices. Insurers must provide a summary privacy notice alongside the full policy, plainly stating categories of data, purposes, lawful bases, disclosure recipients, cross-border transfers, retention periods, data subject rights, and easy marketing opt-out channels. DPO registration and ROPA. All organizations involved in “regular or systematic monitoring of data subjects on

In response to the rapid advancement of artificial intelligence (AI) and evolving global digital trends, Thailand has undertaken significant efforts to establish a comprehensive national policy framework aimed at fostering an AI ecosystem. This framework seeks to promote the responsible development and deployment of AI technology to enhance Thailand’s economic competitiveness and improve quality of life, with targeted implementation by 2027. In furtherance of this national AI policy, regulatory authorities have initiated efforts to develop and refine the applicable legal framework, including the drafting of Thailand’s first unified AI legislation. Pending the composing and enactment of such comprehensive legislation, sector-specific regulators have proactively issued guidelines applicable to regulated entities within their respective jurisdictions, including financial institutions, banks, insurance companies, securities and derivatives business operators, and digital asset service providers. Concurrently, cross-sectoral regulatory bodies, notably the Personal Data Protection Committee (PDPC) and the National Cyber Security Agency (NCSA), have promulgated guidelines applicable to all business operators within their regulatory purview. While unified AI legislation has not been enacted, the design, development and use of AI in Thailand in various industries is still subject to existing sector-specific legislation. National AI policy The Thai cabinet approved the Thailand National AI Strategy and Action Plan (2022-2027) in July 2022, aiming to establish an AI development and application ecosystem by 2027. The strategy is built around five pillars: Preparing social, ethical, legal and regulatory readiness for AI; Developing national infrastructure; Increasing human capability and AI education; Driving AI technology and innovation; and Promoting AI adoption in public and private sectors. The above-mentioned national AI committee, under the National Digital Economy and Society Committee (NDESC), was established in August 2022, chaired by the prime minister. Comprehensive legislation Following the national AI strategy, the government has been developing comprehensive AI legislation to govern and promote AI

Thailand’s Electronic Transactions Development Agency (ETDA), which describes itself as a “co-creation regulator” working collaboratively with industry rather than imposing top-down rules, has unveiled its regulatory roadmap for digital platform businesses under the Royal Decree on Digital Platform Service Businesses B.E. 2565 (2022). The 2026 regulatory approach is guided by three core principles—“practicable, verifiable, shared responsibility”—aimed at elevating digital services to be safe, transparent, and fair. These principles inform ETDA’s 2026 priorities, which focus on three key dimensions: product and service standards on platforms, fair competition and fee transparency, and online fraud prevention. Product and Service Standards ETDA’s 2026 agenda addresses product and service standards across several platform categories: Online marketplace platforms. The Notification on Additional Measures for Online Marketplace Platforms under Section 18(2) came into force on December 31, 2025, designating 21 marketplace platforms that must verify products and merchants. Among other obligations, covered platforms must remove or suspend substandard products under the “notice and take down” principle. The ETDA has collaborated with the Food and Drug Administration and the Thai Industrial Standards Institute to develop inspection manuals and coordinate compliance procedures. Social commerce. The ETDA is preparing a new notification under Section 18(2) specifically targeting social commerce platforms with sales support functions, aiming to align regulation with evolving digital market conditions. Ride sharing. Since the postponement of the deadline to comply with the ETDA’s notification on ride-sharing platforms to March 31, 2026, the ETDA has supported drivers in registering with the Department of Land Transport through the Driver Verify registration system, which has already issued certifications to approximately 27,900 riders. The ETDA is also examining structural issues relating to appropriate insurance packages, motorcycle engine capacity expansion, and fair leasing fees and contract transfer costs in coordination with the Department of Land Transport, the Office of Insurance Commission,