Governance
Does Thailand Need an AI Act?
As AI adoption accelerates in Thailand, should the national conversation move beyond access and skills toward clearer AI governance, accountability, and regulation?
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Executive Perspectives
Insights and executive perspectives on governance, compliance, technology law, and the responsible adoption of emerging technologies—with artificial intelligence as the current priority domain.
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Governance
How Can Organizations Demonstrate They Exercised Due Diligence After an AI Failure?
After an AI failure, organizations may be judged not only by the outcome, but by whether they can demonstrate due diligence through governance, oversight, and documented evidence.
Governance
AI Failures Are Becoming Governance and Legal Risks, Not Just Technical Risks.
AI failures are no longer only technical issues. As organizations rely more on AI, their consequences are increasingly becoming governance and legal risks that require controls across the full AI lifecycle.
Governance
AI Responsibility: By Default or By Design? Organizations Can Choose.
Organizations may not always choose whether AI fails. But they can choose whether responsibility arises by default after an incident, or by design through governance decisions made before AI is deployed.
Technology Law
When AI Speaks, Who Is Legally Responsible?
AI-generated outputs can create real legal consequences when false information causes harm. As courts begin applying established legal principles to generative AI, organizations need stronger governance over AI-generated content.
Governance
AI Hallucinations in 2026: Preventive Controls Alone Are Never Enough
Well-designed prompts and high-quality data can reduce AI risks, but they cannot eliminate every failure. Effective AI governance requires preventive, detective, and corrective controls supported by meaningful human oversight.
Governance
Information Quality and Good Governance: The Foundation of Public Trust
Public trust depends not only on transparency, but also on the accuracy and reliability of information disclosed to the public. As AI accelerates communication, organizations need governance controls that verify information before publication.
Governance
AI Hallucinations in 2026: Well-Designed Prompts Are One of the Governance Controls
Prompt design is not only a productivity technique. Well-designed prompts can also serve as one layer of AI governance control by helping reduce uncertainty, assumptions, and hallucination risks before AI outputs are generated.
Governance
Data Sovereignty Is Becoming a Strategic AI Governance Issue
Data sovereignty is becoming a strategic AI governance issue as data centers, cloud infrastructure, energy, cybersecurity, and legal frameworks become increasingly important to national resilience and trustworthy AI adoption.
Technology Law
AI Hallucinations in 2026: The Technology Has Changed. The Governance Challenge Has Not.
AI hallucinations remain a governance challenge even as technology improves. The real issue is not only whether AI makes mistakes, but whether professionals verify AI-generated outputs before relying on them.
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