A Comparative Analysis and Policy Pathways for Global and Thai AI Governance
Main Article Content
Abstract
Utilizing a qualitative methodology centered on a systematic literature review and comparative policy analysis, this article examines the scope of AI governance and compares international frameworks, specifically the EU AI Act, OECD AI Principles, and the U.S. AI Executive Order. The analytical results underscore the imperative of a risk-based approach as the cornerstone of regulatory efficacy. The findings reveal that for Thailand, addressing the challenges of Sovereign AI and technical auditing capacities is crucial. Consequently, this study proposes concrete policy pathways, including the establishment of regulatory sandboxes and a national AI certification system (AI Trust Mark), to ensure that AI integration harmonizes fundamental rights protection with sustainable technological innovation.
Article history: Received 25 September 2025
Revised 25 February 2026
Accepted 27 February 2026
SIMILARITY INDEX = 0.00 %
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The views and opinions of the article appearing in this journal are those of the author. It is not considered a view and responsibility of the editorial staff.
References
กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม. (2565). แผนปฏิบัติการด้านปัญญาประดิษฐ์แห่งชาติเพื่อการพัฒนาประเทศไทย (พ.ศ. 2565 – 2570). คณะกรรมการขับเคลื่อนแผนปฏิบัติการด้านปัญญาประดิษฐ์แห่งชาติ.
สำนักงานพัฒนาธุรกรรมทางอิเล็กทรอนิกส์. (2566). แนวทางการกำกับดูแลปัญญาประดิษฐ์สำหรับองค์กร (AI Governance Guideline for Organizations). กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม.
ASEAN. (2024). ASEAN Guide on AI Governance and Ethics. ASEAN Secretariat.
Cheong, B. C. (2024). Transparency and accountability in AI systems: Safeguarding wellbeing in the age of algorithmic decision-making. Frontiers in Human Dynamics, 6. https://doi.org/10.3389/fhumd.2024.1421273
European Commission. (2024). AI Act | Shaping Europe’s digital future. [Online], Retrieved September 2, 2025, from https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1), 5–17. https://doi.org/10.1162/99608f92.8cd550d1
International Association of Privacy Professionals (IAPP). (2024). AI Governance Profession Report 2024. IAPP.
International Chamber of Commerce (ICC). (2024). AI governance and standards: Policy paper. International Chamber of Commerce.
National Institute of Standards and Technology. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). NIST. https://doi.org/10.6028/NIST.AI.100-1
Organisation for Economic Co-operation and Development. (2019). OECD principles on artificial intelligence. OECD. https://oecd.ai/en/ai-principles
Organisation for Economic Co-operation and Development. (2024). Artificial intelligence and the changing demand for skills in the labour market. OECD Publishing. https://doi.org/10.1787/88684e36-en
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: A review and research framework. Journal of Strategic Information Systems, 34(2), 101885. https://doi.org/10.1016/j.jsis.2024.101885
Sartori, L., & Theodorou, A. (2022). A sociotechnical perspective for the future of AI: narratives, inequalities, and human control. Ethics and Information Technology, 24(1), 4. https://doi.org/10.1007/s10676-022-09624-3
Stanford University. (2024). The AI Index 2024 Annual Report. AI Index Steering Committee, Institute for Human-Centered AI.
The White House. (2023). Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. [Online], Retrieved September 2, 2025, from https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/
United Nations. (2024). Governing AI for Humanity. UN Secretary-General’s High-level Advisory Body on AI. [Online], Retrieved September 2, 2025, from https://www.un.org/sites/un2.un.org/files/governing_ai_for_humanity_final_report_en.pdf