What does this research mean for the field?

A context-sensitive hybrid AI governance framework combining voluntary principles, targeted binding obligations for high-risk AI, and a consolidated framework law is the most suitable regulatory approach for Thailand as a developing economy. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate artificial intelligence governance approaches from the European Union, South Korea, and Japan to design an optimal, context-sensitive regulatory framework for developing economies like Thailand.

September 5, 2026Cogent Social SciencesOpen Access

Governing artificial intelligence in a developing economy: lessons from the EU, South Korea, and Japan for Thailand’s regulatory design

View Full Paper

Ask AI

Bookmark

Authors

SMSuphawatchara MalanondKing Mongkut's University of Technology North Bangkok PBPongsarun BoonyopakornKing Mongkut's University of Technology North Bangkok

Discussion

Member takes

Implication

Comparative regulatory analysis evaluates international artificial intelligence governance, suggesting a phased hybrid approach balances innovation and rights protection in developing economies.

Key Points

To evaluate artificial intelligence governance approaches from the European Union, South Korea, and Japan to design an optimal, context-sensitive regulatory framework for developing economies like Thailand.
Applied institutional economics theories (North's institutional constraints, Coase's transaction costs, and Williamson's governance structures) alongside policy transfer theory and legal irritant concepts.
Conducted a comparative evaluation of three regulatory models (EU risk-based hard law, South Korea's industrial strategy framework, and Japan's promotional legislation) across five analytical dimensions: legal certainty, rights protection, innovation compatibility, institutional feasibility, and transferability.
Demonstrated that direct legal transplantation of comprehensive, risk-based hard law frameworks creates high transaction costs and enforcement friction in resource-constrained institutional environments.
Identified that developing economies benefit most from a phased hybrid model that progresses from voluntary standards to targeted binding mandates for high-risk systems, culminating in consolidated framework legislation.

Cite This Study

Malanond et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd3a66b95aff0620eada4 https://doi.org/10.1080/23311886.2026.2726609

View Full Paper

Ask AI

Bookmark

Implication

Comparative regulatory analysis evaluates international artificial intelligence governance, suggesting a phased hybrid approach balances innovation and rights protection in developing economies.

Governing artificial intelligence in a developing economy: lessons from the EU, South Korea, and Japan for Thailand’s regulatory design

Discussion

Member takes

Implication

Key Points

Cite This Study

Governing artificial intelligence in a developing economy: lessons from the EU, South Korea, and Japan for Thailand’s regulatory design

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider