News

CALL FOR PAPERS JANUARY 2026

IJSAR going to launch new issue Volume 07, Issue 01, January 2026; Open Access; Peer Reviewed Journal; Fast Publication. Please feel free to contact us if you have any questions or comments send email to: editor@scienceijsar.com

IMPACT FACTOR: 6.673

Submission last date: 20th January 2026

Thailand's AI and data governance: A critical policy analysis of national strategy, ethical frameworks, and business sustainability implications

×

Error message

  • Notice: Trying to access array offset on value of type int in element_children() (line 6609 of /home1/sciensrd/public_html/scienceijsar.com/includes/common.inc).
  • Notice: Trying to access array offset on value of type int in element_children() (line 6609 of /home1/sciensrd/public_html/scienceijsar.com/includes/common.inc).
  • Deprecated function: implode(): Passing glue string after array is deprecated. Swap the parameters in drupal_get_feeds() (line 394 of /home1/sciensrd/public_html/scienceijsar.com/includes/common.inc).
Author: 
Dr. Thanakit Ouanhlee
Page No: 
310-318

This article provides a critical policy analysis of Thailand's artificial intelligence (AI) and data governance architecture, examining the National AI Strategy (2022–2027), the Personal Data Protection Act (PDPA), the Draft AI Bill, and the expanding ecosystem of soft-law governance instruments. Applying four complementary theoretical frameworks (Easton's (1965) authoritative allocation of values, Ansell and Gash's (2008) collaborative governance, consequentialist versus deontological ethics, and Bradford's (2020) Brussels Effect theory), the analysis evaluates the effectiveness of Thailand's multi-layered governance approach across ethical, institutional, and strategic dimensions. Drawing on government publications, international reports, and legal analyses, the article identifies four critical structural gaps: a legislative vacuum in which AI adoption far outpaces enforceable regulation; a surveillance accountability deficit exposed by the 2022 Pegasus spyware revelations; multi-agency fragmentation with no single authority holding binding governance power; and a severe research capacity deficit in AI ethics. A comparative analysis with the European Union reveals what the article terms the governance paradox: the country with one of the world's highest AI adoption rates has among the slowest trajectories of governance maturation, a structural challenge with implications for developing economies more broadly. The article further introduces the concept of trust capital to reframe AI governance from a compliance cost to a business sustainability strategy, arguing that organisations investing voluntarily in governance frameworks build compound advantages across transition readiness, ESG credentials, market access, and investor confidence. The article concludes with evidence-based recommendations for policymakers and businesses operating within Thailand's evolving AI ecosystem and the broader ASEAN regulatory environment.

Download PDF: