Generative artificial intelligence (GenAI) is no longer a distant innovation confined to science fiction and research labs; it has become an integral part of daily business operations worldwide. Employees across industries are adopting GenAI tools at a remarkable pace—including in Southeast Asia, where a tech-savvy workforce and widespread internet and mobile access have driven early adoption. The reality facing organizations today is clear: employees are integrating GenAI into their daily work, often without official approval or clear policies. This phenomenon, often called “Bring Your Own AI,” comes out of a disconnect between organizational governance and employee behavior and reveals the urgent need for proactive AI policies and oversight. For business leaders and legal teams, GenAI is both an opportunity and a challenge. On one hand, these tools can deliver real business value and boost efficiency. On the other, the unsanctioned and unmonitored use of GenAI introduces substantial legal risks, such as data privacy violations, confidentiality breaches, and intellectual property issues. The widespread adoption of GenAI tools by employees, regardless of official organizational stance or guidelines, demonstrates that prohibition is neither practical nor effective. A more strategic approach involves establishing comprehensive governance policies that encourage responsible AI use while managing the risks. Organizations that take the lead in developing GenAI governance policies are better positioned to benefit from its transformative potential. The question isn’t whether GenAI will change how we work, but how quickly organizations can put the right safeguards in place to manage this change successfully. Risks of GenAI Use The use of GenAI in business operations, whether sanctioned or not, exposes organizations to a unique set of risks. The following are particularly relevant: Data security and confidentiality: General GenAI tools in the market may transmit data to external servers, retain conversation histories, and use inputs for model training.

Insurance specialists from Tilleke & Gibbins in Bangkok have contributed the Thailand chapter to the newly released 2025 edition of Thomson Reuters’ Practical Law guide to insurance and reinsurance. The Thailand chapter offers a comprehensive Q&A-style overview of the legal and regulatory framework governing insurance and reinsurance in the country. It provides key insights for businesses, insurers, reinsurers, and intermediaries operating in or entering the Thai market. Key topics covered include: Market structure and common types of insurance; Regulatory framework and oversight by the Office of Insurance Commission (OIC); Authorisation requirements for insurers, reinsurers, and intermediaries; Ownership restrictions and foreign investment rules; Corporate governance, capital requirements, and solvency obligations; Reinsurance arrangements, including fronting, risk transfer, and common contractual clauses; Policy content requirements, standard clauses, and consumer protections; Claims procedures, statutory time limits, and subrogation rights; Dispute resolution mechanisms, including OIC arbitration and court proceedings; Insolvency protections for policyholders; Tax treatment of insurance and reinsurance businesses in Thailand; Recent legal developments, including pending amendments to the Life and Non-Life Insurance Acts and updated OIC regulations on reinsurance and investment activities. The 2025 edition reflects Thailand’s evolving regulatory environment, including proposed legislative reforms to strengthen corporate governance, risk-based capital requirements, and financial stability in the insurance sector. It also highlights practical considerations for foreign insurers, reinsurers, and intermediaries seeking to participate in Thailand’s insurance market. Tilleke & Gibbins contributes regularly to the Practical Law series of guides for various jurisdictions in Southeast Asia, providing trusted legal insight for multinational companies. To access the latest Thailand chapter of the insurance and reinsurance guide, please visit the Practical Law website and enroll in the free Practical Law trial to gain full access.

The Bank of Thailand (BOT) has released draft guidelines establishing principles for managing artificial intelligence (AI) risks in the financial sector. The draft guidelines provide a structured framework for the responsible adoption of AI technologies. Financial service providers will be able to use the guidelines as a reference to appropriately manage their risks in a manner that aligns with internationally recognized best practices. The BOT is accepting public comments on the draft guidelines until June 30, 2025. Scope and Application The draft guidelines apply to all financial service providers, including financial institutions and special financial institutions under the Financial Institution Business Act, as well as payment providers under the Payment Systems Act. These guidelines supplement existing BOT risk management guidelines covering IT risk management, third-party risk management, data governance, and market conduct. The guidelines define AI systems as systems that mimic human intelligence, including machine learning, deep learning, generative AI (such as large language models), and agentic AI. This definition specifically excludes rule-based automation systems like robotic process automation and condition matching. Key Risk Management Principles The guidelines lay out two main principles in managing AI risk. Governance: Financial service providers should define and establish clear roles and responsibilities for their personnel and AI system supervision structures to uphold FEAT (fairness, ethics, accountability, and transparency) principles as follows: Stakeholder roles and responsibilities. Financial service providers should define roles and responsibilities for boards and executives on AI risk oversight. Responsibilities include establishing an AI system usage policy, designating personnel responsible for AI risk management, and building awareness of AI-related risk within the organization. AI system usage policy. The AI system usage policy should be aligned with organizational objectives, regulatory requirements, and FEAT principles. These policies should be reviewed regularly to respond to technological advancements and evolving risk profiles. Risk management