1. Meaning and scope

Autonomous Knowledge Systems Governance concerns the legal rules and institutional safeguards governing systems that collect, organise, store, analyse, generate, distribute and apply knowledge with varying degrees of automation.

Examples include:

AI-powered legal research platforms and digital case-law databases.

Automated university and scientific research repositories.

Government knowledge-management systems.

Medical knowledge and clinical decision-support systems.

Corporate databases, algorithmic decision systems and expert systems.

Digital archives, educational platforms and automated information services.

The subject is broader than intellectual-property protection. It also concerns the accuracy of information, access rights, privacy, confidentiality, accountability, liability for automated errors and the legal consequences of decisions based on machine-generated knowledge.

Thailand does not have one comprehensive statute titled Autonomous Knowledge Systems Governance. Instead, the relevant framework is distributed across constitutional law, civil liability, copyright, personal-data protection, computer-related offences, access-to-information rules, consumer protection and sector-specific legislation.

A central distinction is necessary: a knowledge system is a technological tool, not automatically a legal person. Legal responsibility generally remains with the organisation, operator, developer, data controller or other person whose conduct satisfies the applicable legal requirements.

2. Legal framework governing knowledge systems in Thailand

A. Constitution of Thailand B.E. 2560 (2017)

The Constitution provides the foundation for knowledge access, freedom of expression, education, privacy and accountable public administration.

Important provisions include:

Section 25: protects rights and liberties recognised by the Constitution and applicable law.

Section 26: requires laws restricting rights and liberties to comply with constitutional principles.

Section 32: protects privacy, dignity and reputation.

Section 34: protects freedom of expression and communication.

Section 41: recognises rights concerning access to public information and the right to petition public authorities.

Section 54: establishes State duties relating to education and the development of human capabilities.

Section 77: promotes appropriate legislation, public consultation and regulatory-impact assessment.

These principles are relevant when public authorities use automated knowledge systems to manage records, deliver services, make recommendations or determine access to information.

B. Official Information Act B.E. 2540 (1997)

This Act is central to public-sector knowledge governance.

Its objectives include transparency, public access to government-held information and accountability in public administration.

Important provisions include:

Section 7: requires publication of specified categories of official information.

Section 9: requires State agencies to make specified official information available for public inspection.

Section 11: establishes the right to request official information that is not already available under the Act.

Section 14: protects information that may endanger the institution of the monarchy.

Section 15: permits withholding of certain information, including information affecting national security, law enforcement, protected interests or other legally recognised grounds.

Section 25: provides rights relating to access to and correction of personal information held by State agencies.

The Act creates a balance between open government and legitimate confidentiality. A government knowledge system cannot treat all its records as automatically public, but neither should it deny access without applying the statutory framework.

C. Electronic Transactions Act B.E. 2544 (2001)

This Act gives legal recognition to electronic information and transactions.

Important provisions include:

Section 7: information cannot be denied legal effect solely because it is in electronic form.

Section 8: establishes conditions under which a legal requirement for writing may be satisfied by electronic data.

Section 9: addresses electronic signatures.

Section 10: concerns the retention of electronic data.

Section 11: provides for the admissibility and evidential weight of electronic data.

Section 12: addresses the satisfaction of requirements concerning originals through electronic records.

Section 11 is particularly significant for autonomous knowledge systems. Courts should not reject an electronic record merely because it is electronic, but its evidential weight depends on reliability, integrity, origin and the method by which it was generated, stored or communicated.

D. Copyright Act B.E. 2537 (1994), as amended

The Copyright Act is relevant to digital libraries, research repositories, knowledge databases, software and information platforms.

Section 6 identifies copyrightable categories of works and excludes ideas, procedures, processes, systems and methods of operation from copyright protection.

Section 7 excludes certain materials from copyright protection, including mere facts and information, legislation and judicial decisions.

Section 9 generally gives copyright in employee-created works to the author unless otherwise agreed in writing, while recognising the employer's right to communicate the work to the public for the purpose of employment.

Section 10 generally gives copyright in commissioned works to the commissioning employer unless otherwise agreed.

Section 12 protects qualifying compilations and arrangements of works or data where the creator has made original choices in selection or arrangement. It does not give the compiler ownership of the underlying works or data created by others.

This distinction is crucial: a knowledge database may contain unprotected facts while its original selection, arrangement, analysis or written content may qualify for copyright protection.

E. Personal Data Protection Act B.E. 2562 (2019)

The PDPA applies where knowledge systems collect, store, analyse or disclose personal data.

Important provisions include:

Section 19: consent requirements where consent is the applicable lawful basis.

Section 23: transparency and privacy-notice requirements.

Section 24: lawful bases for processing personal data.

Section 26: additional safeguards for sensitive personal data.

Section 37: responsibilities of data controllers, including security and breach-related obligations.

Section 39: record-keeping requirements.

Sections 77–78: civil liability and compensation for damage arising from violations.

A medical knowledge system, university database or automated employee-evaluation platform must therefore distinguish between the right to use information and the legal right to process personal data.

F. Computer-Related Crime Act B.E. 2550 (2007), as amended

This legislation addresses unlawful activities involving computer systems and computer data.

It is relevant to:

Unauthorised access to knowledge databases.

Unlawful alteration or destruction of computer data.

Interference with computer systems.

Certain forms of unlawful data distribution.

Preservation and investigation of relevant computer traffic data.

Section 26 is particularly important because it imposes data-retention obligations on service providers, subject to statutory requirements and applicable directions.

The Act should not be treated as a general law prohibiting inaccurate information. The particular offence and its statutory elements must be established.

G. Civil and Commercial Code

The Civil and Commercial Code provides civil remedies where a knowledge system causes legally recognised harm.

Section 420: establishes general tort liability for unlawful injury caused wilfully or negligently.

Section 421: addresses abuse of rights.

Section 423: concerns false statements that damage another person's reputation or credit, or otherwise cause injury in the circumstances specified by the provision.

Section 438: governs judicial assessment of damages.

For example, a business may face civil liability if it negligently publishes a false automated report that damages a person's reputation, provided the legal requirements for liability are satisfied.

3. Important Thai case laws

The following decisions are relevant to knowledge systems because they address digital information, electronic records, database content, access to information, online publication and responsibility for information management. They are not all direct decisions on AI governance; the distinction is explained in each case.

Case 1. Supreme Court Decision No. 8313/2561 – InfoQuest Ltd. v. Bisnews AFE (Thailand) Co. Ltd.

Directly relevant to digital knowledge databases

Court: Supreme Court, Intellectual Property and International Trade Division.

Subject: Copyright protection of online news, research and information services.

Facts: InfoQuest, an online news agency and information-service provider, brought proceedings against Bisnews AFE (Thailand) and its directors. The dispute concerned the unauthorised reproduction and redistribution of articles, special reports and interview reports. The claimant relied on 135 disputed works.

Legal issue: Whether news-related materials distributed through an online information system were merely unprotected facts or copyrightable literary works.

Decision: The Supreme Court held that the disputed materials were not merely daily news or bare facts. They involved research, selection, compilation, interviews, analysis, professional skill and intellectual effort. The works therefore qualified for copyright protection, and unauthorised reproduction and redistribution attracted liability.

Legal principles:

Facts and mere information are distinguishable from original analytical works.

Research, selection and analysis may create copyrightable expression.

Digital information services can contain protected intellectual works.

Unauthorised reproduction of protected content may result in damages.

Application to autonomous knowledge systems: An AI-powered research platform cannot assume that every article or analytical report in a database is free to reproduce. It must distinguish public facts from protected expression and obtain appropriate permissions.

RYT9+1

Case 2. Supreme Court Decision No. 9523/2544 – Employee-created computer program

Directly relevant to software ownership

Subject: Copyright ownership of computer software created during employment.

Facts: An employee developed a computer program for the employer's business. A dispute arose concerning ownership and the employer's continued use of the software.

Legal issue: Whether software created by an employee automatically belongs to the employer.

Decision: The Supreme Court held that, in the absence of a written agreement transferring copyright under Section 9 of the Copyright Act, copyright remained with the employee who created the program. The employer's permission to use the program did not automatically establish permanent ownership.

Legal principles:

Software is capable of copyright protection.

Employment alone does not automatically transfer copyright.

Written agreements are important in allocating ownership.

Permission to use software must be distinguished from ownership.

Application: This decision is relevant to knowledge-management software, AI research tools, automated legal databases, university platforms and corporate expert systems. Organisations should expressly regulate ownership, licensing, modification rights and post-employment use.

ThaiDeka+1

Case 3. Supreme Administrative Court Judgment No. A.587/2562 – Mahidol University and Siriraj Hospital medical records

Directly relevant to information access and record governance

Court: Supreme Administrative Court.

Subject: Loss of medical records and failure to provide access to official information.

Facts: A patient requested medical records from Siriraj Hospital, which was affiliated with Mahidol University. The records had been lost, and the hospital had neither followed up nor recovered them despite becoming aware of their loss.

Legal issue: Whether the failure to maintain and provide the medical records constituted a wrongful act by an administrative agency.

Decision: The Supreme Administrative Court held that the hospital had neglected its legal duties. The medical records constituted official information in the form of personal information, and the failure to provide them violated the claimant's right to receive information. The university was liable under Section 5 of the Liability for Wrongful Acts of Officials Act B.E. 2539 (1996).

Legal principles:

Medical records are legally significant information.

Public institutions must maintain records responsibly.

A failure to safeguard information may constitute an administrative wrongful act.

Individuals may be entitled to compensation when an agency's unlawful failure causes damage.

Application: This decision is especially relevant to electronic health records, automated medical knowledge systems, hospital databases, clinical decision-support systems and digital patient histories. It demonstrates that information governance involves preservation and accessibility, not merely cybersecurity.

en.admincourt.go.th

Case 4. Supreme Administrative Court Judgment No. A.2145/2559 – Electricity purchase agreement disclosure

Court: Supreme Administrative Court.

Date: 16 December 2016.

Subject: Public access to official information and protection of commercially sensitive information.

Facts: A private electricity-generating company had entered into an electricity supply agreement with the Electricity Generating Authority of Thailand. NGOs requested access to the agreement. The authority allowed access, and the Information Disclosure Commissioner upheld disclosure while restricting the copying of certain commercially sensitive annexes.

The company challenged the disclosure decision.

Legal issue: Whether public access to the agreement could be allowed while protecting information capable of creating commercial advantages for competitors.

Decision: The Supreme Administrative Court upheld the Commissioner's decision. It recognised the right of the requesting organisations to access official information and accepted the protective conditions applied to sensitive annexes.

Legal principles:

Official information is subject to a statutory disclosure framework.

Public access is not necessarily limited to persons with a direct commercial interest.

Commercial confidentiality must be considered.

Disclosure and protection can be balanced through tailored restrictions.

Application: This decision is relevant to public-sector databases, automated government procurement systems, energy-sector knowledge platforms and AI systems used to analyse public contracts. It illustrates why public data governance needs both transparency and confidentiality safeguards.

ECOLEX+1

Case 5. Prosecutor v. Chiranuch Premchaiporn – Supreme Court Case No. อ.1167/2553 (2015)

Court: Supreme Court.

Subject: Online discussion platform and responsibility for hosted information.

Facts: Chiranuch Premchaiporn, director of the Prachatai online newspaper, was prosecuted in connection with allegedly unlawful comments posted by users on the website's discussion forum.

Legal issue: Whether a platform operator could incur liability under Section 15 of the Computer-Related Crime Act for failing to remove unlawful content.

Decision: The Supreme Court proceedings resulted in a conviction and suspended sentence. The case concerned the legal responsibility of the person managing an online platform in relation to third-party content.

Legal principles:

The role of the platform operator may be legally relevant.

Hosting and publishing user-generated information can raise statutory responsibility issues.

The operator's conduct and the applicable statutory requirements must be examined.

Online information systems cannot disregard applicable content laws.

Application: This case is relevant to autonomous knowledge repositories, AI-powered discussion platforms, collaborative databases and systems that automatically publish user-submitted material. It should be read in its specific statutory context, not as a universal rule that platforms are automatically liable for everything users post.

Global Freedom of Expression

Case 6. Supreme Court Decision No. 4403/2566 – Online publication, defamation and computer-related offences

Court: Supreme Court.

Subject: Unlawful online distribution of intimate digital material.

Facts: The case concerned the distribution of intimate images and video through Twitter. The claimant sought criminal and civil consequences arising from the online publication.

Legal issue: Whether the online publication could result in separate offences and civil compensation.

Decision: The Supreme Court considered defamation by publication under Section 328 of the Criminal Code and the relevant provision of the Computer-Related Crime Act. It treated the offences as distinct and upheld compensation for the injured person.

Legal principles:

Digital publication may cause legally recognised personal harm.

Privacy, dignity and reputation require protection.

A person responsible for harmful online publication may face criminal and civil consequences.

The digital medium does not remove ordinary legal responsibility.

Application: An autonomous knowledge system that stores, indexes, recommends or redistributes sensitive personal material needs safeguards against unauthorised disclosure and harmful publication.

ThaiLawOnline

Case 7. Supreme Court Decision No. 976/2567 – Online broadcasts and defamation by publication

Court: Supreme Court.

Subject: Reputational harm caused by online information dissemination.

Facts: Statements made during online programmes distributed through YouTube and Facebook referred to the claimant without expressly naming that person.

Legal issue: Whether statements published through online broadcasts could constitute defamation by publication when the person concerned was identifiable from the context.

Decision: The Supreme Court held that the statements, read as a whole, referred to the claimant and constituted defamation by publication under Section 328 of the Criminal Code. It also ordered publication of a summary of the judgment through print and online news channels.

Legal principles:

A person need not be expressly named to be identifiable.

Online broadcasts can constitute publication.

Context matters when determining whether information refers to a particular person.

Corrective publication may be an appropriate remedy for reputational harm.

Application: This is relevant to AI-generated summaries, automated knowledge reports, online recommendation systems and digital reputation databases. Systems should be designed to minimise false identification and allow effective correction of harmful information.

ThaiLawOnline

Case 8. Natural Fruit Co. Ltd. v. Andy Hall – Pra Kanong Provincial Court, Black Case No. 1150/2557; Red Case No. 843/2559

Court: Pra Kanong Provincial Court, with subsequent appellate proceedings.

Subject: Online publication, reputation and civil liability for information.

Facts: Researcher Andy Hall made statements concerning alleged labour conditions in Thailand's food-processing industry. The statements were communicated to a journalist and subsequently published online.

Legal issue: Whether statements about a company, published through media channels, could result in civil liability for reputational damage.

Decision and principle: The trial court found liability under Section 423 of the Civil and Commercial Code and awarded damages. The Court of Appeal affirmed the judgment in 2019.

Legal significance:

Knowledge and research reports can cause reputational harm when published.

Section 423 may apply to false statements that cause legally recognised injury.

The context and manner of communication matter.

Research organisations and publishers should maintain evidence supporting factual assertions.

Application: The decision is relevant to AI-generated company profiles, automated due-diligence reports, corporate risk databases and research systems that publish allegations about identifiable individuals or businesses.

Important qualification: This is a civil defamation authority, not a decision specifically about AI-generated information. Its relevance is the application of ordinary civil liability to information that is communicated through modern media.

4. Civil liability arising from autonomous knowledge systems

Knowledge systems can cause harm through inaccurate information, unauthorised disclosure, incorrect classification, defective recommendations or unlawful reproduction of protected material.

A. Liability for inaccurate knowledge

An automated system may produce an inaccurate report concerning a person's identity, financial status, professional qualifications or legal position.

Possible legal consequences include:

Tort liability under Section 420 of the Civil and Commercial Code.

Liability under Section 423 where the statutory requirements concerning false statements and injury are satisfied.

Contractual liability where a service provider breaches an obligation to supply accurate information.

Consumer remedies where inaccurate representations constitute a violation of consumer-protection law.

However, an inaccurate output does not automatically establish liability. The claimant must prove the relevant legal elements, including duty or wrongful conduct where applicable, causation and legally recognised damage.

B. Liability for loss of knowledge records

A hospital, university, government department or commercial organisation may be responsible where negligent record management causes a legally recognised injury.

Relevant risks include:

Loss of medical histories.

Destruction of research records.

Failure to preserve court or administrative documents.

Loss of academic qualifications or employment records.

Inability to access information required to exercise legal rights.

The Supreme Administrative Court's decision in A.587/2562 demonstrates the importance of maintaining and providing legally significant records.

C. Liability for unauthorised reproduction

Knowledge platforms frequently reproduce material from third-party sources.

Potentially protected material includes:

Academic articles.

Books and reports.

Computer programs.

Photographs and diagrams.

Original analytical content.

Qualifying databases and compilations.

The InfoQuest decision, Supreme Court No. 8313/2561, demonstrates that original research, selection, interviews and analysis can receive copyright protection even where the subject matter concerns news and information.

D. Liability for privacy violations

An automated knowledge system may process personal information in ways that violate the PDPA.

Examples include:

Publishing private medical information.

Using employee data for an undisclosed purpose.

Creating profiles without a lawful basis.

Disclosing personal information to unauthorised third parties.

Failing to implement appropriate security measures.

A data controller or processor may face liability depending on its role, conduct and the statutory requirements. The PDPA provides for civil liability and permits punitive damages in qualifying circumstances.

E. Liability for platform publication

A platform may collect information from users, index it and redistribute it through automated recommendation systems.

The relevant questions include:

Who created the information?

Who uploaded or supplied it?

Who controlled its publication?

Did the operator have a statutory duty?

Was the information unlawful?

What steps were taken after receiving notice?

Did the platform's own conduct cause legally recognised damage?

The Chiranuch Premchaiporn case illustrates the importance of examining the platform operator's actual role and the particular statutory provision involved.

5. Autonomous knowledge systems in important sectors

A. Government knowledge systems

Thai public authorities increasingly rely on electronic records, digital information platforms and automated administrative processes.

Potential uses include:

Tax and revenue administration.

Land and property records.

Licensing databases.

Public procurement information.

Administrative case management.

Public-service eligibility systems.

Governance requirements should include lawful access, accurate records, correction procedures, information security and administrative accountability.

Under the Official Information Act, transparency must be balanced against statutory confidentiality and privacy protections.

B. Healthcare knowledge systems

Hospitals may use electronic patient records, AI-assisted diagnosis, medical databases and automated clinical recommendations.

Legal safeguards should address:

Patient consent where required.

Medical confidentiality.

Accuracy and updating of records.

Security of medical information.

Human medical oversight.

Access to patient records.

Liability for negligent system design or use.

A knowledge system should support professional judgment rather than automatically replace the legal and professional responsibilities of healthcare providers.

C. University and research knowledge systems

Universities and research institutions may use automated systems for:

Research discovery.

Digital libraries.

Academic repositories.

Research evaluation.

Plagiarism detection.

Research collaboration.

Patent and technology-transfer management.

Their governance should define the rights of authors, researchers, students, funders and institutions. They should also establish policies concerning research integrity, source attribution, confidential data and publication permissions.

D. Corporate knowledge systems

Companies may use automated systems to organise:

Customer records.

Employee expertise.

Commercial intelligence.

Market research.

Legal documents.

Technical know-how.

Business strategies.

The legal framework should distinguish between general employee knowledge and confidential business information. Employers may protect legitimate trade secrets, but they should not assume that every skill or experience acquired by an employee belongs exclusively to the company.

E. Judicial and legal knowledge systems

Digital legal databases and AI legal research systems can support:

Case-law searches.

Statutory interpretation research.

Litigation preparation.

Document classification.

Court administration.

Legal-aid services.

Important safeguards include:

Accurate case citations.

Verification of current legislation.

Identification of overruled or distinguished judgments.

Preservation of original court documents.

Protection of confidential court records.

Human verification before legal submissions or decisions.

A fabricated case citation or inaccurate legal summary can cause serious harm. Legal professionals and institutions should not treat machine-generated research as authoritative without verification.

F. Education and public knowledge systems

Automated education systems can assess student progress, recommend learning materials and allocate educational resources.

Their governance should protect:

Student records.

Fair assessment.

Personal information.

Academic freedom.

Access to educational materials.

Human review of consequential automated assessments.

An algorithmic recommendation should not become an unreviewable substitute for a lawful educational decision.

6. Electronic evidence and knowledge-system reliability

Electronic evidence is a fundamental part of autonomous knowledge governance.

Under Section 11 of the Electronic Transactions Act B.E. 2544, electronic data cannot be rejected in legal proceedings solely because it is in electronic form. Its evidential weight depends on factors such as:

The reliability of the method by which it was generated.

How it was stored and communicated.

Whether its integrity was maintained.

How its originator was identified.

The surrounding circumstances.

This is particularly relevant to AI-generated documents, database logs, automated reports, digital signatures and system-generated audit records.

:

A reliable knowledge system should preserve:

For AI-generated information, the organisation should ideally retain the system version, input data, relevant output, human review and final decision. These records can assist in establishing how an error occurred and who was responsible.

7. Major legal challenges in Thailand

1. Absence of a unified knowledge-governance statute

Thailand's legal framework is distributed across different statutes. Copyright, privacy, electronic records, access to information and civil liability are regulated separately.

This can create uncertainty when one autonomous platform performs several functions simultaneously.

2. Inaccurate AI-generated information

An AI system may generate incorrect case summaries, fabricated legal authorities, false medical information or misleading commercial reports.

The existing framework can address resulting harm through applicable civil, consumer, professional or sector-specific rules, but it does not provide one comprehensive framework for every form of AI-generated misinformation.

3. Unclear responsibility among participants

A knowledge system may involve:

Software developers.

Data suppliers.

System operators.

Data controllers.

Cloud-service providers.

Professional users.

Public authorities.

The allocation of liability depends on each participant's conduct, legal obligations, contractual role and causal contribution to the harm.

4. Conflict between public access and confidentiality

Government databases may contain information that is important for public accountability but also includes commercial secrets, personal data or national-security information.

The Official Information Act provides a framework for balancing these competing interests. The Supreme Administrative Court's decision in A.2145/2559 illustrates this balance.

5. Digital evidence and authenticity

A database entry may have been modified, deleted or generated automatically. Without reliable audit trails, it may be difficult to establish authenticity, integrity and responsibility.

6. Copyright and machine learning

AI systems may process large quantities of copyrighted material. Questions arise about copying, adaptation, licensing and the distinction between protected expression and unprotected facts.

Thailand's Copyright Act provides important principles, but the treatment of every AI training and output scenario is not conclusively settled by the cases discussed above.

7. Personal-data protection

Knowledge systems often combine information from several databases. This can create risks of profiling, excessive collection, unauthorised disclosure and inaccurate personal records.

8. Unequal access to knowledge

Automated systems may concentrate access to valuable research, professional information and commercial databases among organisations with substantial financial resources.

Thailand's governance framework should encourage innovation while preserving fair access, lawful educational use and legitimate public-interest disclosure.

8. Recommended governance model for Thailand

A comprehensive governance model should combine legal compliance, technical safeguards and institutional accountability.

Proposed reforms

A. National knowledge-systems governance guidelines

Thailand could develop national guidelines for AI-enabled information management across government, universities, hospitals and businesses.

B. Mandatory accuracy and correction mechanisms

Organisations operating consequential knowledge systems should establish procedures for reporting, correcting and reviewing inaccurate information.

C. Human oversight

High-impact decisions involving medical treatment, education, employment, public benefits and legal rights should receive meaningful human oversight.

D. Standardised digital-record management

Public authorities and major institutions should maintain consistent standards for record authenticity, retention, access, preservation and deletion.

E. Clearer AI accountability

Regulatory guidance should clarify the responsibilities of developers, operators, data controllers and professional users when autonomous systems generate or distribute harmful information.

F. Better protection of research and public knowledge

Universities, research institutions and government bodies should develop fair licensing arrangements, open-access policies and procedures protecting confidential research.

G. Specialised judicial and technical expertise

Courts should have access to appropriate technical expertise when deciding disputes involving AI-generated information, electronic evidence, database integrity and automated decision systems.

9. Relationship with Thailand's economic and social development

Autonomous knowledge systems can support Thailand's transition towards a knowledge-based economy.

Their potential benefits include:

Better government administration.

More efficient healthcare services.

Improved research productivity.

Digital education.

Scientific innovation.

Stronger legal research infrastructure.

Better corporate decision-making.

Increased technology transfer.

More transparent public administration.

However, the success of these systems should not be measured only by processing speed or the volume of information stored. It should also be measured by accuracy, fairness, accessibility, privacy protection, institutional accountability and the quality of decisions they support.

10. Conclusion

Civil Law and Autonomous Knowledge Systems Governance in Thailand is an emerging field connecting civil liability, electronic transactions, copyright, privacy, administrative transparency, cybersecurity and AI accountability.

The eight judicial authorities discussed above provide important foundations:

Supreme Court No. 8313/2561: original research, selection and analysis in digital news products can receive copyright protection.

Supreme Court No. 9523/2544: employee-created software does not automatically become the employer's copyright property.

Supreme Administrative Court A.587/2562: failure to maintain and provide important medical records can constitute an administrative wrongful act.

Supreme Administrative Court A.2145/2559: public access to official information must be balanced against legitimate commercial confidentiality.

Chiranuch Premchaiporn, A.1167/2553: platform operators' responsibilities for hosted content must be examined under the applicable statutory requirements.

Supreme Court No. 4403/2566: harmful online publication can create separate criminal and civil consequences.

Supreme Court No. 976/2567: online publication can cause reputational liability even where the affected person is not expressly named.

Natural Fruit Co. Ltd. v. Andy Hall: false information communicated through media can attract civil liability under Section 423.

The central legal principle is that autonomous knowledge systems must remain subject to human, institutional and judicial accountability. Their governance should protect the integrity of information, preserve individual rights, support innovation and ensure that automated systems do not become unaccountable decision-makers.

Research qualification: These decisions are relevant authorities from different areas of Thai law, not eight direct precedents establishing a single doctrine of autonomous knowledge-system governance. In particular, the Chiranuch decision is a criminal platform-liability case, while A.587/2562 and A.2145/2559 are administrative-law authorities. Their principles are applied here by analogy to modern autonomous information systems. No external URLs have been reproduced.