1. Meaning and scope

Autonomous Intellectual Capital Governance refers to the legal and institutional framework for identifying, protecting, managing, commercialising and transferring intellectual capital while preserving the rights of creators, employees, investors, businesses and the public.

Intellectual capital is broader than conventional intellectual property. It includes:

Human capital: employees’ knowledge, skills, experience, research abilities and creative expertise.

Structural capital: databases, software, algorithms, processes, designs, technical documentation and organisational know-how.

Relational capital: customer relationships, supplier networks, brand reputation, licences and commercial partnerships.

Intellectual property: patents, copyrights, trademarks, trade secrets, industrial designs and other legally protected intangible assets.

In Thailand, there is no single statute establishing a separate legal category called “autonomous intellectual capital governance”. Its legal foundations are spread across intellectual-property legislation, the Civil and Commercial Code, employment law, data-protection law, contract law and competition law.

The word autonomous is especially relevant where businesses, universities or public institutions use AI systems, automated valuation tools, digital platforms or algorithmic systems to manage intellectual assets. Such systems may assist decision-making, but they do not automatically become legal owners of intellectual property or displace the rights and responsibilities of human creators and organisations.

2. Main legal framework in Thailand

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

The Constitution provides the broader foundation for intellectual capital governance through:

Section 34: freedom of expression and communication, subject to lawful restrictions.

Section 35: freedom of academic expression and protection of professional and media independence within the constitutional framework.

Section 40: freedom to engage in occupations and economic activities, subject to legal regulation.

Section 43: community rights, including rights relating to culture and natural resources.

Section 54: the State’s duties concerning education and the development of human capabilities.

Section 77: principles of appropriate legislation, public consultation and assessment of regulatory impacts.

These provisions support an environment in which knowledge, innovation, research and creative activity can develop while remaining subject to public-interest regulation.

B. Civil and Commercial Code

The Civil and Commercial Code is important where intellectual capital is created, transferred, licensed, misused or commercially exploited.

Section 420 – General tort liability

A person who wilfully or negligently unlawfully injures another person’s life, body, health, liberty, property or rights may be liable to compensate the injured party.

This can apply to unauthorised exploitation of protected intellectual assets, misuse of confidential business information or negligent handling of rights where the necessary elements of civil liability are established.

Section 421 – Abuse of rights

The exercise of a right for a purpose that is manifestly contrary to its proper purpose may constitute an abuse of rights. This may be relevant to oppressive licensing practices or strategic use of intellectual-property rights to injure another party.

Section 438 – Assessment of damages

The court determines the manner and extent of compensation, taking relevant circumstances into account. This is significant where intellectual-property infringement causes lost profits, business disruption or other financial harm.

Contractual provisions

Contract law governs technology-transfer agreements, research contracts, software development, licensing, confidentiality agreements, franchise arrangements and assignments of intellectual property.

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

The Copyright Act protects original works of authorship, including:

Literary and academic works.

Computer programs.

Artistic and architectural works.

Musical and audiovisual works.

Sound recordings and cinematographic works.

The Act is particularly important for software, digital content, AI-assisted creative production, databases and research publications.

Copyright protection generally concerns the expression of an idea rather than the idea, method or principle itself. Questions of authorship, ownership, employee-created works, commissioned works, adaptation and infringement must be examined under the Act and the relevant contractual arrangements.

D. Patent Act B.E. 2522 (1979), as amended

The Patent Act protects qualifying inventions and product or process innovations.

It provides mechanisms for:

Patent applications and registration.

Patent ownership and transfer.

Licensing.

Enforcement against infringement.

Protection of qualifying innovations in industrial and technological fields.

For autonomous technologies, an important distinction is between the technology itself and the human or legal persons who may qualify as inventors, applicants or patent owners. The involvement of an AI system does not, by itself, settle inventorship or ownership.

E. Trade Secrets Act B.E. 2545 (2002)

The Trade Secrets Act protects commercially valuable information that is not generally known or readily accessible and is subject to reasonable measures to maintain secrecy.

Examples include:

Manufacturing formulas.

Proprietary algorithms.

Customer databases.

Pricing models.

Research results.

Technical methods.

Commercial strategies.

A business cannot ordinarily claim trade-secret protection merely by describing information as confidential. It must establish the statutory requirements, including the relevant secrecy and commercial-value elements.

F. Trademark Act B.E. 2534 (1991), as amended

The Trademark Act protects distinctive signs used to distinguish goods or services.

It is relevant to brand capital, reputation, product identity, franchising and digital commerce. Trademark protection can be especially important where automated platforms use brand names, logos or product identifiers.

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

Intellectual capital increasingly depends on data. The PDPA regulates the collection, use and disclosure of personal data.

Its significance includes:

Lawful bases for processing personal data.

Transparency and data-subject rights.

Security and accountability obligations.

Special protection for sensitive personal data.

Restrictions and safeguards concerning certain automated processing and profiling activities.

A company may possess a database or have contractual rights to use it, but that does not mean it owns the personal data contained in it free of privacy obligations.

H. Trade Competition Act B.E. 2560 (2017)

Intellectual capital may create market power. Competition law therefore becomes relevant where businesses use patents, platforms, proprietary standards, data or technology to restrict competition.

Potential issues include:

Abuse of dominant position.

Unfair trade practices.

Exclusive licensing arrangements.

Discriminatory access to essential technology.

Anti-competitive restrictions in technology-transfer agreements.

Civil Law and Autonomous Intellectual Capital Governance in Thailand

1. Introduction and meaning

Autonomous Intellectual Capital Governance refers to the legal framework through which individuals, businesses, universities, research institutions and public organisations create, own, protect, value, transfer and commercialise knowledge-based assets.

Intellectual capital is broader than registered intellectual property. It includes:

Human capital: employees’ expertise, professional skills, research capabilities, experience and creative knowledge.

Structural capital: software, algorithms, databases, technical processes, business methods, organisational systems and research documentation.

Relational capital: customer relationships, commercial networks, goodwill, brands, licensing relationships and institutional partnerships.

Intellectual property: copyright, patents, trademarks, trade secrets and industrial designs.

In Thailand, there is no single statute creating a separate legal category called autonomous intellectual capital governance. The subject is governed through several connected legal regimes, including the Civil and Commercial Code, Copyright Act, Patent Act, Trademark Act, Trade Secrets Act, employment legislation, Personal Data Protection Act and Trade Competition Act.

The word autonomous becomes particularly important when AI systems, automated platforms and algorithmic tools are used to create, evaluate, allocate, license or commercialise intellectual assets. Automation can assist governance, but it does not itself resolve who owns an invention, who qualifies as an author, who controls confidential information or who is liable for infringement.

2. Constitutional and statutory foundations

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

The Constitution provides the general framework for innovation, education, occupational freedom and the protection of rights.

Section 26: State measures and laws restricting individual rights and liberties must comply with constitutional requirements.

Section 27: guarantees equality before the law and prohibits unjust discrimination.

Section 34: protects freedom of expression, subject to lawful restrictions.

Section 40: protects freedom to engage in occupations and economic activities, subject to legal regulation.

Section 54: establishes State responsibilities concerning education and the development of human capabilities.

Section 77: promotes appropriate legislation, consultation and assessment of regulatory impacts.

These provisions support an environment in which innovation and knowledge-based economic activity can develop without disregarding individual rights and public interests.

B. Civil and Commercial Code

The Civil and Commercial Code provides important remedies when intellectual capital is misappropriated, damaged or exploited contrary to law or contract.

Section 420 – Tort liability

A person who wilfully or negligently unlawfully injures another person’s life, body, health, liberty, property or rights may be liable to compensate the injured party.

This provision can support civil claims involving unlawful exploitation of intellectual assets where the requirements of tort liability are satisfied.

Section 421 – Abuse of rights

A person cannot exercise a legal right in a manner that constitutes an abuse of that right. This may be relevant to oppressive commercial conduct involving intellectual-property rights.

Section 438 – Assessment of damages

The court determines the manner and extent of compensation, taking the circumstances and seriousness of the wrongful act into account.

Contractual obligations

Contract law governs assignments, licences, research agreements, software-development contracts, technology-transfer agreements, confidentiality arrangements and commercialisation agreements.

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

Copyright protects qualifying original works, including:

Literary and academic works.

Computer programs.

Artistic works and designs.

Musical compositions.

Cinematographic and audiovisual works.

Sound recordings.

Architectural works.

It is particularly important for software, digital content, research publications, creative industries and AI-assisted production.

Section 8 concerns the author and the acquisition of copyright. Section 9 governs works created in the course of employment: copyright generally remains with the author unless otherwise agreed in writing, while the employer has the statutory right to communicate the work to the public in accordance with the purpose of the employment. Section 10 generally provides that copyright in a commissioned work belongs to the employer or commissioning party unless otherwise agreed.

Sections 15 and 16 address the exclusive rights of copyright owners and the effect of licensing. These provisions make written agreements especially important in software development, research and digital-content production.

WIPO+1

D. Patent Act B.E. 2522 (1979), as amended

The Patent Act protects qualifying inventions and product or process innovations.

Its principal functions include:

Patent registration and examination.

Protection of qualifying inventions.

Patent ownership and assignment.

Licensing and commercial exploitation.

Civil and criminal enforcement against infringement.

Challenges to patent validity.

For autonomous technology, an important issue is whether an invention satisfies the statutory requirements and who legally qualifies as the inventor or patent owner. The use of AI as a research or design tool does not, by itself, establish that the AI system is a legal inventor.

E. Trademark Act B.E. 2534 (1991), as amended

The Trademark Act protects distinctive marks used to identify goods and services.

It protects commercial goodwill and brand value through registration, enforcement and remedies against infringement and certain forms of passing off.

This legislation is important for technology companies, digital platforms, universities, franchising businesses and organisations that commercialise research under recognised institutional brands.

F. Trade Secrets Act B.E. 2545 (2002)

The Trade Secrets Act protects commercially valuable information that is not generally known or readily accessible and is subject to reasonable measures to maintain secrecy.

Examples include:

Manufacturing formulas.

Customer and supplier databases.

Proprietary algorithms.

Research findings.

Pricing strategies.

Technical processes.

Confidential commercial methods.

A business must be able to identify the specific information claimed as a trade secret and demonstrate the required secrecy measures. A broad confidentiality clause, without adequate practical protection and identification of the information, may be insufficient.

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

The PDPA is important because intellectual capital increasingly depends on personal data, employee information, customer databases and research records.

Its requirements include:

Lawful grounds for processing personal data.

Transparency and accountability.

Data-subject rights.

Security obligations.

Special requirements for sensitive personal data.

Safeguards concerning certain automated processing and profiling activities.

A business may have contractual rights to operate a database, but that does not mean it owns the personal data within it without restriction.

H. Trade Competition Act B.E. 2560 (2017)

Intellectual assets can create significant market power. Competition law may therefore apply when a company uses patents, software, proprietary standards, platforms or data to restrict market access.

Relevant issues include:

Abuse of dominant position.

Unfair trade practices.

Exclusive technology licensing.

Discriminatory access to essential technology.

Anti-competitive restrictions in licensing agreements.

3. Important Thai case laws

The following decisions provide judicial principles relevant to intellectual capital governance. Some are directly concerned with intellectual-property ownership or infringement; others concern the protection of trade secrets, employment restrictions, patent validity or commercial goodwill. They should not all be treated as decisions specifically about autonomous AI governance.

Case 1. Supreme Court Decision No. 9523/2544 – Employee-created computer software

Area: Copyright ownership and employee intellectual capital.

Facts and issue: An employee created a computer program for use in the employer’s business. A dispute arose after the employee left employment and the employer continued using the software.

Decision and principle: The Supreme Court held that, in the absence of a written agreement transferring copyright to the employer under the applicable employment-work provision, copyright belonged to the employee who created the program. The employer's prior permission to use the program did not necessarily amount to permanent ownership or an irrevocable licence.

The Court also considered the employer's continued use after the employee withdrew permission and the resulting civil liability.

Legal significance:

Employment does not automatically transfer copyright in employee-created software.

Written ownership and licensing arrangements are essential.

Continued use after permission is withdrawn may create civil liability.

The Civil and Commercial Code's tort and damages principles may supplement copyright remedies.

Application: This case is particularly relevant to AI software, enterprise applications, employee-created algorithms and research systems developed inside private companies.

Deka+1

Case 2. Saeksan Tape & Record Registered Partnership v. Rose Video Co. Ltd. and Others – Supreme Court Decision No. 7328/2544

Area: Copyright assignment, licensing and musical intellectual capital.

Facts and issue: The dispute concerned songs composed by Surapol Sombatcharoen. A contract was described as a sale of copyright, while a later agreement authorised other parties to adapt and reproduce the songs in video and laser-disc formats.

The central issue was whether the earlier agreement had effectively transferred copyright ownership or merely granted commercial permission.

Decision and principle: The Supreme Court examined the contractual wording and commercial circumstances to determine whether an effective assignment had occurred. The case is recognised for distinguishing a transfer of copyright ownership from a licence or other commercial authorisation.

Legal significance:

A copyright assignment should be distinguished from a licence.

Contractual labels alone do not necessarily determine the legal effect of an agreement.

Cultural and creative works require clear ownership and exploitation arrangements.

The right to adapt a work must be assessed against the actual rights transferred.

Application: The principle is relevant to digital music libraries, AI-assisted musical adaptations, traditional Thai cultural works, audiovisual archives and commercial content platforms.

WIPO+1

Case 3. Supreme Court Decision No. 10217/2553 – Trade-secret protection and employment restrictions

Area: Confidential information and business intellectual capital.

Facts and issue: The dispute concerned an employer's attempt to protect confidential business information through general non-disclosure and non-compete provisions in an employment agreement.

The issue was whether those contractual restrictions adequately established that the information was protected as a trade secret and that reasonable secrecy measures had been taken.

Decision and principle: The decision is reported as rejecting a trade-secret claim where a general non-disclosure and non-compete clause did not adequately establish the specific confidential information and the measures used to preserve its secrecy.

Legal significance:

A general confidentiality clause may not be enough.

The claimant must identify the specific information said to be secret.

Commercial value and secrecy must be established.

Reasonable practical safeguards are important.

Application: Companies using proprietary AI models, customer analytics, source code, research databases and technical processes should implement access controls, confidentiality protocols, document classification and employee exit procedures.

Trade Secrets protection in Thailand

Case 4. Supreme Court Decision No. 7364/2558 – Reasonable non-compete restriction protecting trade secrets

Area: Employee mobility and protection of confidential commercial knowledge.

Facts and issue: The dispute involved an employee in a cosmetics business who had access to confidential product-mixing information and joined a competing business. The employment agreement contained a one-year non-compete restriction.

Decision and principle: The Supreme Court accepted that the employer had a legitimate interest in protecting trade secrets and considered the one-year restriction reasonable in the circumstances.

Legal significance:

Employers may protect legitimate confidential business interests.

Non-compete provisions are not automatically valid merely because they appear in an employment contract.

Duration, scope, business interests and the employee's position are relevant.

Restrictions must be assessed for fairness and reasonableness.

Application: This decision is relevant to AI engineers, research scientists, software developers, product designers and employees who have access to proprietary algorithms or commercially sensitive research.

J&A INTERNATIONAL LAW

Case 5. Supreme Court Decision No. 9972/2558 – Belmont Brands Ltd. v. Boonyasak Wattanaharuthai

Area: Trademark goodwill, passing off and bad-faith registration.

Facts and issue: The dispute concerned a mark similar to the earlier-used mark “D2”. The earlier rights holder had used its mark internationally before the other party sought registration in Thailand.

The question was whether registration and use of the later mark could create confusion about the commercial origin of the goods.

Decision and principle: The case examined the similarity of the marks, the relationship between the goods and the likelihood of consumer confusion. It is cited in discussions of bad-faith trademark registration and passing off.

Legal significance:

Brand reputation is a valuable intangible commercial asset.

Similar marks may mislead consumers about the origin of goods.

Earlier use and the circumstances of registration may be relevant.

Trademark governance must account for both registered rights and protection against misleading commercial conduct.

Application: This decision is relevant to digital brands, platform identities, technology products, institutional research brands and AI-generated logos.

jpo.go.jp

Case 6. Supreme Court Decision No. 2464/2020 – Surasak Prasertbadeekul v. Saranya Udornrungrueng

Area: Trademark infringement and likelihood of confusion.

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

Date: 21 May 2020.

Facts and issue: The dispute concerned alleged trademark infringement and whether the defendant's mark was sufficiently similar to the claimant's mark to create confusion.

Decision and principle: The case addressed the exclusive rights of a trademark owner, likelihood of confusion and the availability of injunctive relief.

Legal significance:

Trademark protection is not limited to preventing exact copying.

The likelihood of confusion is central to infringement analysis.

Courts may grant permanent injunctive relief where infringement is established.

Brand owners can seek protection against unauthorised use that threatens the distinctiveness of their marks.

Application: The case is relevant to automated brand monitoring, online marketplaces, AI-generated brand identifiers and digital platform governance.

WIPO+1

Case 7. Supreme Court Decision No. 9213/2557 – Fruit-wrapping-bag petty patent

Area: Patent validity, novelty and prior art.

Facts and issue: The dispute concerned a petty patent for a fruit-wrapping bag. The patent's validity was challenged on the basis of prior disclosures in foreign publications.

Decision and principle: The Supreme Court invalidated the petty patent after considering the prior-art material and the statutory requirement of novelty.

Legal significance:

Patent protection depends on statutory patentability requirements.

Earlier publications may be relevant to novelty even if they originated outside Thailand.

Patent challenges require reliable and identifiable evidence of prior disclosure.

Registration does not make an invention immune from a validity challenge.

Application: This decision is relevant to automated invention-development systems, university research, AI-assisted product design and technology-transfer due diligence.

Lexology+1

Case 8. Supreme Court Decision No. 974/2551 – T.M. Grating Steel Co. Ltd. v. Billion Mass Industry Co. Ltd.

Area: Patent disputes and standing to challenge patent validity.

Facts and issue: The case concerned the meaning of an “interested person” entitled to challenge patent validity. The claimant had been subjected to criminal proceedings for alleged patent infringement.

Decision and principle: The Supreme Court recognised that a party directly affected by the enforcement of a patent could have sufficient interest to challenge its validity.

Legal significance:

Patent validity is not necessarily challengeable by every member of the public.

A claimant must demonstrate a legally relevant and sufficiently direct interest.

Enforcement proceedings can create the necessary practical impact.

Patent governance must balance the patent holder's exclusive rights with the rights of affected competitors.

Application: This principle is important for technology businesses, manufacturers, research institutions and start-ups facing patent enforcement claims.

Tilleke & Gibbins

Case 9. Supreme Court Decision No. 2670/2532 – Interested-person requirement in patent disputes

Area: Patent challenges and legal standing.

Facts and issue: The dispute concerned whether a party whose intended use of a patented technology was still at a preparatory stage had sufficient interest to challenge the patent.

Decision and principle: The Supreme Court held that a party whose intended use remained at a preparatory stage, before actual manufacturing had commenced, did not qualify as an interested person on the facts of the case.

Legal significance:

A hypothetical or remote commercial interest may be insufficient.

The claimant must establish a sufficiently concrete legal or commercial impact.

Patent challenges require attention to standing as well as substantive validity.

Application: This principle can affect technology start-ups and research organisations seeking to challenge patents that may obstruct their future commercial plans.

Tilleke & Gibbins

4. Civil liability in autonomous intellectual capital systems

Autonomous intellectual capital systems create complex questions about responsibility because the creation and exploitation of intangible assets may involve many participants.

A. AI developers

Developers may face liability where their conduct causes legally recognised harm, such as:

Incorporating protected software without authorisation.

Misappropriating confidential source code.

Designing systems that reproduce protected material unlawfully.

Misrepresenting ownership or licensing rights.

Negligently managing intellectual-property permissions.

Liability depends on the relevant statute, contract, knowledge, conduct and evidence.

B. Businesses and employers

Businesses should establish policies governing:

Employee-created inventions.

Software developed during employment.

Research and development outputs.

Ownership of commissioned works.

Confidentiality and trade-secret protection.

Use of third-party datasets and software.

AI-assisted content and product development.

The importance of written agreements is particularly clear from Supreme Court Decision No. 9523/2544.

C. Universities and research institutions

Universities and research institutions may generate substantial intellectual capital through research, inventions, academic publications, software and industry partnerships.

Their governance should address:

Ownership of research outputs.

Rights of academic staff and students.

Funding-agreement conditions.

Patent filing and publication decisions.

Technology-transfer arrangements.

Revenue-sharing mechanisms.

Protection of confidential research.

Conflicts of interest.

A university should not assume that funding a research project automatically gives it every intellectual-property right in the resulting work. The governing statute and agreement must be examined.

D. Digital platforms

Digital platforms may facilitate the creation, storage, licensing and distribution of intellectual assets. They should maintain procedures for:

Copyright complaints.

Trademark complaints.

Identification of rights holders.

Licensing records.

Repeat infringement.

Removal or restriction of unlawful material.

Preservation of evidence.

Automated enforcement should provide appropriate human review where disputed ownership or complex licensing questions arise.

5. Governance of AI-generated intellectual capital

AI raises questions that traditional intellectual-property laws were not specifically designed to answer.

A. AI-generated inventions

Where an AI system contributes to an invention, the legal questions include:

Who made the legally relevant inventive contribution?

Who qualifies as the inventor under the Patent Act?

Who owns the rights under employment or commissioning agreements?

What evidence establishes human contributions?

Does the invention satisfy novelty and other statutory requirements?

The fact that an AI system generated a technical proposal does not itself establish a right to patent protection in the name of that system.

B. AI-generated copyright works

AI-assisted works require careful analysis of:

Human creative contribution.

Originality and authorship.

Use of third-party protected material.

Contractual ownership.

Rights in adaptations and derivative works.

The applicable statutory treatment of computer-generated works.

The Copyright Act's treatment of authorship and ownership should not be confused with the commercial ability to use a particular AI output.

C. Automated intellectual-property valuation

Businesses may use AI to estimate the value of patents, trademarks, software, datasets and confidential know-how.

However, automated valuation does not conclusively establish legal ownership or market value. A valuation should consider:

Registration and validity.

Remaining protection period.

Licensing restrictions.

Commercial demand.

Litigation risk.

Prior encumbrances.

Transferability.

Dependence on confidential information or personal data.

D. Automated licensing and smart contracts

Smart contracts may automate licence payments, usage limits, royalty distribution and access to digital assets.

Nevertheless, automation cannot cure an invalid assignment, an unclear licence or an infringement of third-party rights. The parties should ensure that the legal agreement accurately reflects the code's operation and includes procedures for errors, disputes and termination.

6. Civil remedies and enforcement mechanisms

Thailand provides several routes for protecting intellectual capital.

A. Civil proceedings

A rights holder may seek appropriate civil remedies, depending on the relevant statute and facts, including:

Compensation for proven financial loss.

Injunctions against continuing infringement.

Orders to stop unauthorised use.

Remedies concerning infringing goods.

Relief for breach of contractual obligations.

Remedies for unlawful disclosure or exploitation of confidential information.

The Civil and Commercial Code's tort provisions may operate alongside specific intellectual-property legislation.

B. Intellectual Property and International Trade Court

The Central Intellectual Property and International Trade Court specialises in intellectual-property and international-trade disputes.

Matters within its jurisdiction can include:

Copyright infringement.

Patent disputes.

Trademark infringement.

Trade-secret misappropriation.

Technology licensing disputes.

Other intellectual-property claims.

Appeals follow the specialised judicial procedure applicable to these cases.

C. Criminal enforcement

Certain intellectual-property infringements also attract criminal penalties under Thai legislation. Criminal enforcement is particularly relevant to deliberate commercial piracy, counterfeiting and specified forms of unauthorised exploitation.

Civil and criminal proceedings serve different purposes: civil litigation primarily addresses rights and remedies, while criminal proceedings address statutory offences and punishment.

D. Administrative protection

The Department of Intellectual Property performs important administrative functions, including:

Patent and trademark administration.

Copyright-related services.

Trade-secret policy and administration.

Intellectual-property education.

Commercialisation and innovation support.

Administrative registration or notification, where available, should not be confused with a conclusive judicial determination of ownership or validity.

7. Major challenges in Thailand

1. Unclear ownership of AI-assisted work

AI-assisted software, research and creative works may involve developers, employers, contractors, users and third-party content owners. Poorly drafted agreements can produce ownership disputes.

2. Weak trade-secret management

Businesses sometimes rely on general confidentiality clauses without identifying the specific information requiring protection. This creates difficulties when proving that information qualified as a trade secret.

3. Employee mobility and knowledge transfer

Employees carry professional experience and general skills when they change jobs. Employers must distinguish legitimate protection of confidential information from unreasonable restrictions on an employee's ability to work.

4. Data ownership and privacy

Commercial databases may contain personal data, confidential business information and third-party intellectual property. These rights must be analysed separately rather than treating the database as an unrestricted asset.

5. University commercialisation

Research institutions may face disputes about ownership, licensing, royalty distribution and the rights of academic researchers or students.

6. Automated infringement detection

AI systems may incorrectly identify lawful use as infringement or fail to detect unauthorised copying. Automated decisions should be supported by evidence and meaningful review.

7. Intellectual-property valuation

Intangible assets are difficult to value because their worth depends on market demand, commercial usefulness, legal validity, licensing restrictions and future income.

8. Competition concerns

Strong intellectual-property protection can encourage innovation, but excessive licensing restrictions or discriminatory access to technology may raise competition-law concerns.

8. Recommended governance model for Thailand

An effective autonomous intellectual capital governance framework should contain the following elements.

Proposed institutional reforms

Thailand could strengthen this area through the following measures:

1. National intellectual capital policy

Develop a coordinated policy connecting intellectual-property protection, education, research, technology transfer and digital innovation.

2. AI and intellectual-property guidelines

Clarify the treatment of AI-assisted inventions, computer-generated works, training data, human creative contribution and ownership documentation.

3. University intellectual-property standards

Promote standard agreements dealing with academic ownership, student contributions, research funding, licensing and royalty sharing.

4. Stronger trade-secret compliance

Encourage businesses to maintain identifiable confidential-information registers, access logs, employee confidentiality procedures and secure technical systems.

5. Fair licensing practices

Encourage transparent licensing terms and prevent contractual arrangements that unlawfully restrict competition or unfairly disadvantage creators.

6. Improved intellectual-property dispute resolution

Strengthen specialist judicial training, technical expertise, expert evidence procedures and access to appropriate dispute-resolution mechanisms.

7. Responsible automated governance

Require organisations to maintain audit trails, human review, documented decision-making and accountability for automated intellectual-property management.

9. Relationship with Thailand's economic development

Intellectual capital is important to Thailand's transition towards a knowledge-based and innovation-driven economy.

It supports:

Research and development.

Digital industries.

Biotechnology and medical innovation.

Artificial intelligence and robotics.

Creative industries.

Educational technology.

Advanced manufacturing.

Technology-based small and medium enterprises.

University and private-sector collaboration.

The development of intellectual capital should not be measured solely by the number of patents or registered trademarks. It should also be assessed through the quality of research, skills development, technology transfer, fair compensation for creators, business productivity and public access to knowledge.

10. Conclusion

Civil Law and Autonomous Intellectual Capital Governance in Thailand is a developing legal and policy field that connects traditional civil liability with modern intellectual-property management, AI, data governance and knowledge-based commercial activity.

The most important legal foundations are the Copyright Act, Patent Act, Trademark Act, Trade Secrets Act, Personal Data Protection Act, Trade Competition Act and the Civil and Commercial Code.

The case law demonstrates several central principles:

Employee-created software does not automatically become the employer's copyright property.

Copyright assignments must be distinguished from licences.

Trade-secret owners must identify the confidential information and establish reasonable secrecy measures.

Non-compete restrictions must protect legitimate business interests and remain reasonable.

Trademark protection safeguards commercial goodwill against confusion and misuse.

Patent rights remain subject to validity requirements and rules concerning who may challenge them.

Ultimately, Thailand's intellectual capital governance should balance three objectives: protection of creators and businesses, responsible use of autonomous technologies, and fair public access to innovation. A successful framework must protect intangible assets without allowing technological control, contractual restrictions or intellectual-property rights to undermine competition, individual rights and the wider public interest.

Research note: The nine decisions above are useful authorities for the stated principles, but not all are direct precedents on AI or autonomous intellectual-capital governance. Their application to AI systems is an extension of established copyright, patent, trademark, trade-secret and contract principles.