Thailand’s AI Bill: Balancing Innovation with Rights Protection

Thailand’s AI Bill Prioritizes Responsible Use and Rights Protection

On June 10, 2025, Thailand’s government took a significant step toward regulating artificial intelligence (AI) by introducing a new AI bill aimed at establishing a clear legal framework that prioritizes responsible use and rights protection. This initiative comes at a time when the rapid growth of AI technologies presents various ethical and regulatory challenges.

Public Consultation and Legislative Goals

The bill is currently open for public consultation until June 9, with the objective of addressing the use of high-risk AI applications. The proposed legislation aims to tackle critical issues related to rights violations, security, and civil liberties.

According to the Permanent Secretary of the Digital Economy and Society Ministry, AI is viewed as a crucial driver of the digital economy and a tool for enhancing citizens’ quality of life. However, the rapid advancement of this technology brings forth challenges in ethics, transparency, and accountability.

Governance Framework

The bill has been designed to implement a tiered regulation system based on the risk level associated with different AI applications. High-risk AI systems will be subject to stringent regulations, while general AI applications will adhere to best practice guidelines.

Key considerations in this regulatory approach include:

  • AI accountability – Ensuring that developers and deployers of AI systems are held responsible for their impacts.
  • Algorithmic transparency – Mandating that AI systems provide clear insights into how decisions are made.
  • Safeguards for human rights – Implementing measures to protect individuals from potential harms caused by AI applications.

Collaboration with Experts

The Electronic Transactions Development Agency (ETDA) is working in collaboration with experts from the AI Governance Centre (AIGC) and other relevant agencies to ensure that the guidelines are tailored to Thailand’s unique context while remaining aligned with global developments.

Core Dimensions of the Bill

The AI bill encompasses three main dimensions:

  • Removing legal barriers – The legislation seeks to eliminate regulatory obstacles that hinder AI adoption.
  • Promoting AI development – This includes implementing incentives such as funding support, tax reductions, and the establishment of regulatory sandboxes.
  • AI governance and oversight – A diverse regulatory framework will be established, incorporating both soft law and hard law mechanisms.

Focus on High-Risk Applications

The use of high-risk AI systems, particularly in sensitive sectors like healthcare, finance, and government services, will necessitate having transparent oversight and specialized regulatory bodies. The governance framework must adapt to keep pace with technological advancements.

Human Resources and Infrastructure Development

The development of AI legislation should be accompanied by efforts to improve human resources and national infrastructure. This encompasses enhancing technical expertise, establishing ethical standards, and ensuring practical implementation across various sectors, including agriculture and public administration.

Data Sharing and Digital Sovereignty

A vital aspect of the AI bill is the design of a data-sharing system that respects digital sovereignty. This involves balancing data ownership, ensuring open-source accessibility, and maintaining domestic data security.

A Tool for Shaping the Future

In conclusion, the AI bill is not merely a technical regulation but a tool for shaping the future of Thailand’s AI landscape. It aims to guide responsible progress while ensuring the protection of human dignity in the digital age. The emphasis on public participation in establishing collective governance rules reflects a commitment to creating an inclusive framework that benefits all members of society.

More Insights

AI Regulations: Comparing the EU’s AI Act with Australia’s Approach

Global companies need to navigate the differing AI regulations in the European Union and Australia, with the EU's AI Act setting stringent requirements based on risk levels, while Australia adopts a...

Quebec’s New AI Guidelines for Higher Education

Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and...

AI Literacy: The Compliance Imperative for Businesses

As AI adoption accelerates, regulatory expectations are rising, particularly with the EU's AI Act, which mandates that all staff must be AI literate. This article emphasizes the importance of...

Germany’s Approach to Implementing the AI Act

Germany is moving forward with the implementation of the EU AI Act, designating the Federal Network Agency (BNetzA) as the central authority for monitoring compliance and promoting innovation. The...

Global Call for AI Safety Standards by 2026

World leaders and AI pioneers are calling on the United Nations to implement binding global safeguards for artificial intelligence by 2026. This initiative aims to address the growing concerns...

Governance in the Era of AI and Zero Trust

In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy...

AI Governance Shift: From Regulation to Technical Secretariat

The upcoming governance framework on artificial intelligence in India may introduce a "technical secretariat" to coordinate AI policies across government departments, moving away from the previous...

AI Safety as a Catalyst for Innovation in Global Majority Nations

The commentary discusses the tension between regulating AI for safety and promoting innovation, emphasizing that investments in AI safety and security can foster sustainable development in Global...

ASEAN’s AI Governance: Charting a Distinct Path

ASEAN's approach to AI governance is characterized by a consensus-driven, voluntary, and principles-based framework that allows member states to navigate their unique challenges and capacities...