Digital Thailand - AI Ethics Guideline
Thailand · Guideline · ETDA (Thailand's Electronic Transactions Development Agency)
Our summary
This document sets out ethical principles and practical guidance for AI developers, designers, researchers, and service providers in Thailand. It aims to ensure AI systems are trustworthy, safe, and developed with regard to human rights, democracy, transparency, and fairness. The guidelines also help the public understand their rights and risks when using AI services, and guide state and organizational oversight bodies.
Written by the Index in our own words. It is not legal advice; the official text is the authority.
Inside this policy
Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.
Drafted by the Index An automated summary of the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
5 sections
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Purpose and scope
This document establishes ethical principles and guidelines for AI developers, researchers, designers, and service providers in Thailand, as well as guidance for users and government agencies. It aims to ensure AI systems are trustworthy, secure, beneficial to people and society, developed transparently and fairly, and aligned with national strategy and human rights.
Study and analysis of international AI ethics
Thailand's AI ethics framework was developed by studying convergent principles from international bodies and countries, each with jurisdiction-specific variations. Key frameworks from OECD, Council of Europe, European Commission, US Executive Order, Smart Dubai, and Singapore emphasise: reliable and beneficial AI with human rights protection, data protection, and human intervention capability; technical robustness, security, transparency, and explainability; human-centred design with accessibility for all including people with disabilities; fair dataset representation of affected populations; human safety as paramount; protection of rights and freedoms; workforce training; public education; transparent AI provider practices respecting privacy and intellectual property; government support for international standards and compliance; and organisations embedding ethics principles in governance structures with regular model updates and plain-language system explanations.
Security and fairness guidelines
AI should be created and used to generate sustainable benefit and well-being for humans, society, economy and environment; enhance competitiveness and fair prosperity; and enable human creativity and innovation, in compliance with law, norms, ethics, human virtue, international standards, and human rights while respecting privacy and dignity. AI must serve but not deceive humans, be designed with risk prevention and human-intervention mechanisms, avoid monopolies and discrimination to benefit especially disadvantaged groups, make accurate predictions with data quality controls and user feedback mechanisms, require government assessment of benefits and harms with oversight units to advise on legal and ethical impacts and establish accountability mechanisms. Researchers, designers, developers and service providers must possess sufficient AI knowledge, apply human-centered design preserving human autonomy and decision-making, disclose AI's purpose, reasoning, datasets, capabilities, limitations, algorithms and reliability in comprehensible ways, comply with Personal Data Protection Act 2019 principles and privacy-by-design, design mechanisms to detect and monitor threats with recovery and fallback capabilities, understand diverse user needs including minorities and disadvantaged groups, audit systems for unintended bias and use representative datasets from multiple sources collected with diverse and expert-guided teams; regulators must check algorithm explainability, establish policies requiring technical documentation and simple explanation request channels, conduct independent audits and risk assessments, and plan long-term oversight of advancing AI systems while collaborating internationally to prevent harmful AI races.
Accessibility and reliability requirements
Development and deployment of AI systems should be based on social fairness, using bias detection tools to reduce unfairness, testing with unseen data and populations not in training data, enabling testing by people with disabilities, and preparing training and access channels to ensure equal access regardless of age, gender, ethnicity, ability and other characteristics. Users should study AI benefits, impacts and risks, regularly follow AI technology news, verify product reliability through design principles, assessments and certifications, request ethics details from providers, verify prior user feedback, report performance issues, and request clear explanations from researchers and providers to detect bias and errors; users bear their own accountability. Affected persons have rights to request information about AI usage reasons and impacts and participate in design, development and risk assessment; if personal data is used for research, design, development and service provision, users have rights under the Personal Data Protection Act 2019 to access and receive copies of personal data about themselves and disclosure of sources, withdraw consent and object to collection, use or disclosure, request controllers delete, destroy or temporarily cease using data, and ensure personal data is correct, current, complete and not misleading.
References
Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
Drafted by the Index Drafted automatically from the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
Themes covered 5 of 35
Choose a theme to see only its controls. About the themes
Risk and scope 0 of 4
- Risk classification, not covered
- Prohibited practices, not covered
- Risk management system, not covered
- Impact assessment, not covered
Data and privacy 1 of 4
- Data subject rights and consent, not covered
- Cross-border data transfer, not covered
- Copyright and training data, not covered
Transparency and records 0 of 4
- Transparency and disclosure to users, not covered
- Labelling of synthetic content, not covered
- Technical documentation, not covered
- Record keeping and logging, not covered
Technical safeguards 3 of 4
- Accuracy, robustness and cybersecurity, not covered
Assurance and lifecycle 0 of 4
- Conformity assessment and certification, not covered
- Registration and notification, not covered
- Incident and breach reporting, not covered
- Post-market monitoring and corrective action, not covered
Rights and protected groups 0 of 4
- Automated decision-making rights, not covered
- Children and vulnerable groups, not covered
- Biometric identification and surveillance, not covered
- Whistleblowing, complaints and redress, not covered
Roles and organisation 1 of 6
- Supply chain and provider-deployer duties, not covered
- General purpose and foundation models, not covered
- Accountability and governance roles, not covered
- Public sector use and procurement, not covered
- Innovation support and sandboxes, not covered
Enforcement and sectors 0 of 5
- Enforcement, penalties and regulators, not covered
- Sector rules: health, not covered
- Sector rules: finance and insurance, not covered
- Sector rules: employment, not covered
- Sector rules: education, not covered
The full list of controls could not be loaded, so only the first 4 are shown.
Reliability and accessibility 4 controls
- ObligationApplies to: ProviderDrafted by the Index
AI developers and service providers should design and test systems to meet accessibility standards such as WCAG 2.0 and should systematically plan research, design and deployment activities.
- ObligationApplies to: ProviderDrafted by the Index
AI developers and service providers should detect and mitigate bias through testing tools and evaluation with diverse users including disabled people.
- ObligationApplies to: ProviderDrafted by the Index
AI developers and service providers should ensure fair access to AI services for all users.
- ObligationApplies to: ProviderDrafted by the Index
AI developers and service providers should collect and maintain data meeting quality factors including accuracy, completeness and integrity.
Change history
No changes recorded since we began monitoring this policy.