AI Governance Week 2026

Why Is AI Governance Week 2026 Important?

Over the past 2-3 years, Thailand has aggressively promoted AI adoption in both the public and private sectors. The Thailand 4.0 and Digital Economy policies have encouraged organizations to leverage AI technology for greater efficiency. However, Thailand still lacks a clear governance framework compared to leading nations like the European Union with its EU AI Act or the OECD with its established AI Principles.

Hosting AI Governance Week 2026 Bangkok is therefore a significant step demonstrating that Thailand is ready to:

• Build a concrete AI governance framework — not just principles, but actionable in practice
• Open an international exchange platform — learn from legal frameworks and best practices of other countries
• Prepare both the public and private sectors — before AI adoption expands beyond control
• Address new challenges — especially 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 their event announcement and international AI Governance trends, here are 5 key topics worth watching closely:

1. AI Ethics & Responsible AI — Ethical Use of AI

This topic focuses on using AI without creating bias — whether related to gender, race, economic status, or other biases that may be hidden in training data. For example, an AI system used for job application screening will make biased decisions if the training data contains biases.

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

2. AI Safety & Security — Security of AI Systems

As AI takes on roles in critical systems such as finance, healthcare, and infrastructure, security becomes a matter that cannot be ignored. This topic will address:

• Adversarial Attacks — attacking AI systems with manipulated data to trick AI into making wrong decisions
• Model Robustness — the resilience of AI models against unexpected data
• AI Supply Chain Security — security across the entire AI development chain, from training data and models to deployment

3. Data Protection & PDPA — Personal Data Protection When Using AI

The intersection of PDPA and AI is a challenge that Thai organizations must inevitably face. AI requires massive amounts of data for learning, but PDPA mandates obtaining consent and using data only for stated purposes. Key questions include:

• Does using employee data for AI training without disclosing the purpose violate PDPA?
• Does AI that performs automatic customer profiling require separate consent?
• When AI makes a wrong decision that causes damage, who is responsible?

4. AI in Government Services — Responsible AI Adoption in the Public Sector

Thailand's public sector has begun adopting AI in various areas, from citizen service chatbots and fraud detection systems to data analysis for policy-making. However, AI use in the public sector is highly sensitive because it directly impacts citizens' rights. This topic will address guidelines for:

• AI Impact Assessment before deployment
• Disclosing that the agency uses AI in decision-making
• Appeal mechanisms when AI makes incorrect decisions
• Standards for government procurement of AI systems

5. International AI Governance Frameworks — Global AI Regulatory Landscape

This topic will compare AI governance approaches from around the world so Thailand can learn and adapt them:

Governance Framework	Main Approach
EU AI Act	Classifies AI risk levels (Unacceptable, High, Limited, Minimal) with regulations per level
OECD AI Principles	Focuses on 5 principles: Inclusive Growth, Human-centred Values, Transparency, Robustness, Accountability
US AI Executive Order	Emphasizes AI Safety Testing, Red Teaming, Watermarking for AI-generated Content
Singapore AI Governance Framework	Uses a Model AI Governance Framework approach, emphasizing voluntary adoption and practicality

Understanding these frameworks will help Thai organizations doing business internationally comply with regulations correctly, especially the EU AI Act, which applies to any organization serving the European Union regardless of where it is located in the world.

How Should Thai Organizations Prepare?

Whether your organization is already using AI or planning to in the future, preparing for AI Governance is something you should start today. (Read more about Essential AI Governance Policies for Organizations)

Step 1: Establish an Internal AI Governance Policy

Define a clear policy on how your organization will use AI: who has authority to approve AI adoption, what criteria are used for risk assessment, and what the review process looks like.

Step 2: Conduct a Data Inventory — Know What Data You Have and Where It Lives

Before adopting AI, you must first know what data your organization has, which systems store it, 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

There should be a committee or team specifically responsible for AI Governance, comprising representatives from multiple departments — IT, Legal, Risk Management, and the business units that directly use AI — to ensure comprehensive perspectives.

Step 4: Train Employees on AI Literacy

Employees at every level should have a basic understanding of AI — what it can do, what it cannot do, its limitations, and how to use it safely. They don't need to be technical experts, but they must understand the 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 thing — quality, well-organized data. No matter how smart AI is, if you feed it scattered, incomplete, or inaccurate data, the results will be meaningless.

This is why organizations should start from the foundation — having an ERP system as a back-office platform that organizes all data first. An ERP system consolidates data from every department — accounting, inventory, HR, procurement — into a single standardized database with audit trails and full traceability. When foundational data is well-organized, deploying AI for analysis or decision support becomes far more effective.

Common Problem	How ERP Helps
Data scattered across multiple Excel files	Centralizes all data in a single database
Don't know which version of data is the latest	Real-time data updates with version control
No audit trail, impossible to verify	Every transaction records who did it, when, and what was changed
Unclear data access permissions	Role-based Access Control assigns permissions by position
Personal data mixed everywhere, unsure how to manage PDPA compliance	Organizes data by category, clearly identifies where personal data resides

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

AI Governance Week 2026 Bangkok is an excellent opportunity for every organization currently using or planning to use AI, whether in the public or private sector, because:

1. Learn international governance frameworks directly from experts
2. Understand where Thailand is heading in terms of AI Regulation
3. Gain practical guidelines for building AI Governance within your organization
4. Build a network with experts and organizations interested in the same topics

But before getting there, the first thing to do is organize your organization's foundational data. Have a reliable back-office system with audit trails and full auditability, 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 wants to start organizing data and building a robust back-office system, you can schedule a free Saeree ERP demo or contact our consulting team for an organizational readiness assessment.