Why Does AI Governance Week 2026 Matter?

Over the past 2-3 years, Thailand has been aggressively pushing AI adoption in both the public and private sectors. The Thailand 4.0 and Digital Economy policies encourage organizations to leverage AI technology for improved efficiency. However, Thailand still lacks a clear regulatory framework for AI compared to leading regions such as the European Union with its EU AI Act or the OECD with its AI Principles.

The AI Governance Week 2026 Bangkok represents a crucial step demonstrating Thailand's readiness to:

• Establish concrete AI governance frameworks — moving beyond principles to actionable practices
• Create an international exchange platform — learning from legal frameworks and best practices of other countries
• Prepare both public and private sectors — before AI adoption expands beyond controllable boundaries
• Address emerging challenges — particularly the intersection of PDPA (Personal Data Protection Act) and AI, which requires massive amounts of data for learning and decision-making

5 Key Topics Expected at the Event

Based on topics outlined by ETDA in its announcement and global AI governance trends, here are 5 key topics to watch:

1. AI Ethics & Responsible AI

This topic focuses on preventing AI bias related to gender, race, economic status, or other prejudices that may be hidden in training data. For example, an AI system used for job application screening may produce biased decisions if trained on biased data.

It also covers transparency — users must know when they are interacting with AI, and the system must be able to explain how it makes decisions (Explainability).

2. AI Safety & Security

As AI plays an increasingly critical role in financial systems, healthcare, and infrastructure, safety becomes non-negotiable. This topic addresses:

• Adversarial Attacks — attacking AI systems with manipulated data to trick them into making incorrect decisions
• Model Robustness — the resilience of AI models against unexpected inputs
• AI Supply Chain Security — security throughout the entire AI development pipeline, from training data to model deployment

3. Data Protection & PDPA

The intersection of PDPA and AI presents an unavoidable challenge for Thai organizations. AI requires vast amounts of data for learning, but PDPA mandates consent and purpose limitation for data usage. Key questions include:

• Does using employee data to train AI without disclosing the purpose violate PDPA?
• Does AI that automatically profiles customers require separate consent?
• When AI makes an erroneous decision causing harm, who bears responsibility?

4. AI in Government Services

Thai government agencies are beginning to adopt AI in various areas, from citizen-facing chatbots and fraud detection systems to policy analysis. However, AI use in government is highly sensitive as it directly impacts citizens' rights. This topic covers:

• AI Impact Assessment before deployment
• Disclosure that agencies use AI in decision-making
• Appeal mechanisms when AI makes errors
• Standards for government AI procurement

5. International AI Governance Frameworks

This topic compares AI governance approaches from around the world, enabling Thailand to learn and adapt best practices:

Framework	Key Approach
EU AI Act	Risk-based classification of AI systems (Unacceptable, High, Limited, Minimal) with corresponding regulatory requirements
OECD AI Principles	Five core principles: Inclusive Growth, Human-centred Values, Transparency, Robustness, Accountability
US AI Executive Order	Focuses on AI Safety Testing, Red Teaming, and Watermarking for AI-generated Content
Singapore AI Governance Framework	Voluntary, practical approach using the Model AI Governance Framework

Understanding these frameworks helps Thai organizations doing business internationally comply with relevant regulations, particularly the EU AI Act which applies to organizations serving the European Union regardless of their physical location.

How Should Thai Organizations Prepare?

Whether your organization is already using AI or planning to in the future, preparing for AI governance should start today. (Read more about AI Governance policies every organization needs)

Step 1: Establish Internal AI Governance Policy

Define clear policies on how the organization will use AI, who has authority to approve AI adoption, what criteria are used for risk assessment, and what the review processes look like.

Step 2: Conduct a Data Inventory

Before deploying AI, organizations must understand what data they have, where it is stored, who owns it, and which data qualifies as personal data under PDPA. This is the most critical starting point because good AI requires good, well-managed data.

Step 3: Establish an AI Governance Committee

Organizations should form a dedicated committee or team responsible for AI governance, comprising representatives from IT, legal, risk management, and business units that directly use AI, ensuring comprehensive oversight from all perspectives.

Step 4: Train Employees on AI Literacy

Employees at all levels should have a basic understanding of what AI can and cannot do, its limitations, and how to use it safely. They don't need to be technical experts, but they must understand the fundamental principles and risks.

The Foundation You Need Before Using AI — A Back-Office System That Organizes Data

Many organizations are excited about AI but overlook the most important element — quality, well-organized data. No matter how smart an AI system is, if it's fed scattered, incomplete, or inaccurate data, the results will be meaningless.

This is why organizations should start from the foundation — having an ERP system as the back-office that organizes all data first. An ERP system consolidates data from every department — accounting, inventory, human resources, procurement — into a single database with consistent standards, audit trails, and full traceability. When foundational data is well-organized, AI analytics and decision support become far more effective.

Common Problem	How ERP Helps
Data scattered across multiple Excel files	Centralizes all data in a single database
Unclear which data version is current	Real-time data updates with version control
No audit trail, cannot verify changes	Every transaction records who, when, and what changed
Unclear data access permissions	Role-based Access Control with permissions by position
Personal data mixed everywhere, PDPA compliance unclear	Categorized data storage, easily identifying where personal data resides

Conclusion — A Key Opportunity for Every Organization Using or Planning to Use AI

AI Governance Week 2026 Bangkok presents an excellent opportunity for every organization — both public and private — that is using or planning to use AI because:

1. Learn international governance frameworks directly from experts
2. Understand Thailand's regulatory direction regarding AI regulation
3. Gain practical guidelines for building AI governance within your organization
4. Build a network with experts and organizations sharing the same interests

But before reaching that point, the first step is to organize your organization's foundational data properly, having a reliable back-office system with audit trails and verification capabilities, because good AI governance must start with good data.

AI governance is not a matter for the future — it is a matter for today. Organizations that start preparing now will have a competitive advantage in a world where AI plays a role in every dimension of business.

- Saeree ERP Team

If your organization needs to organize its data and build a robust back-office system, you can schedule a free Saeree ERP demo or contact our consulting team to assess your organization's readiness.