You are using an outdated browser and your browsing experience will not be optimal. Please update to the latest version of Microsoft Edge, Google Chrome or Mozilla Firefox. Install Microsoft Edge

April 30, 2026

New Decree Strengthens Vietnam’s Copyright Framework in the AI Era

Managing Intellectual Property

Vietnam’s Decree No. 134/2026/ND‑CP, which took effect on 9 April 2026, plays an important role in detailing and implementing Vietnam’s Intellectual Property (IP) Law in the context of rapid digital transformation and the growing application of artificial intelligence (AI). The new decree provides comprehensive guidance on the application of copyright and related‑rights regulations, addressing key issues such as authorship, ownership, statutory exceptions and limitations, registration procedures, and enforcement mechanisms.

Through these measures, Decree 134 seeks to achieve an appropriate balance between safeguarding the legitimate interests of rightsholders and fostering innovation, research, and technological advancement, thereby strengthening the state’s framework for the effective management, protection, and exploitation of intellectual property in the digital and AI‑driven environment.

Some notable aspects of Decree 134 are discussed below.

Copyright for AI-Created Works

Decree 134 provides important guidance on the determination of copyright and related rights in works created with the assistance of AI. Article 5a reaffirms the principle that human creativity remains central to copyright protection, clarifying that copyright or related rights arise only where a human makes a substantial and decisive intellectual contribution, exercises effective control over the creative outcome, and assumes responsibility for the content and its legality.

At the same time, the provision confirms that AI is regarded solely as a technological tool rather than a rights‑holding subject, thus ensuring consistency with the fundamental concepts of authorship and ownership under the IP Law. By introducing requirements on transparency, proof of human contribution, and compliance with AI‑specific labelling and technical marking obligations, Decree 134 establishes a clear and enforceable legal framework for the responsible use of AI in creative activities.

Lawful Use of Copyrighted Texts and Data

Article 37a of Decree 134 sets out the specific conditions under which copyrighted texts and data may be lawfully used for scientific research, experimentation, and the training of AI systems, requiring that such use be based on lawfully published materials, accessed from legitimate sources, and conducted without circumventing or disabling technological protection measures implemented by rightsholders. It further establishes substantive limitations to ensure that such use does not conflict with the normal exploitation of protected works, does not cause unreasonable prejudice to the legitimate interests of authors, performers, and rightsholders, and does not result in AI outputs that substitute the market or create unfair competition with protected subject matter.

The right of authors, performers, and rightsholders to reserve their copyright and related rights against this use of protected texts and data is also recognized under Article 37b. Such reservations must be exercised through clear and publicly accessible mechanisms, including machine‑readable rights‑management information, technological protection measures, or public declarations made via authorized collective management organizations. This reservation right specifically does not apply where the use of texts and data fully satisfies the strict conditions set out in Article 37a.

Users of copyrighted texts and data for research, experimentation, and AI training are required  to retain technical records, training data, and usage data in accordance with applicable AI‑related regulations, and to provide such information to competent authorities upon request for verification, dispute resolution, or enforcement purposes. In addition, Article 37c reinforces the obligation to respect the reservation of rights exercised by rightsholders, notably clarifying that where AI‑trained systems are commercially exploited, users must comply with the foregoing obligations and fulfill royalty‑payment duties in accordance with the law, ensuring that AI innovation is aligned with fair remuneration and effective rights protection.

Specialized Database on Copyright and Related Rights

To strengthen the institutional framework for copyright protection and enforcement in the digital environment, Decree 134 introduces a centralized, specialized database on copyright and related rights. This publicly accessible database will consolidate key data on registrations, collective management organizations, royalty tariffs, intermediary service providers, and other relevant matters to enhance information sharing, regulatory oversight, and lawful access, while ensuring compliance with data‑protection and confidentiality requirements.

Copyright Exclusions

Article 8.4 clarifies the scope of subject matter excluded from copyright protection by providing detailed interpretations of ideas, slogans, and the independent title of a work. The provision reaffirms that ideas or creative concepts not fixed in a material form, slogans lacking independent creativity beyond ordinary linguistic expression, and titles considered separately from the content of the work do not constitute protected works.

Legal Validity of Electronic Registration Certificates

Article 38.9 formally recognizes the legal validity of electronic copyright and related‑rights registration certificates, an important step toward modernizing copyright administration. The provision authorizes the competent authority to issue certificates in electronic form as the default, while allowing paper certificates to be issued upon request, and confirms that electronic certificates have the same legal value as paper documents.

Suspension of Examination During Disputes

Under Article 39.2a, the relevant authority must temporarily suspend the examination of registration applications where the subject matter is involved in an ongoing dispute, complaint, denunciation, or criminal investigation relating to IP infringement. By requiring formal notification to applicants and clearly defining the duration of such suspension, this important procedural safeguard helps prevent the issuance of registration certificates that could interfere with judicial, arbitral, or investigative proceedings, while ensuring procedural fairness through the resumption of processing or the return of applications once the suspension period ends.

A Promising Step Forward

In summary, Decree 134 represents a significant step forward in modernizing and strengthening Vietnam’s copyright and related‑rights framework in response to rapid digital transformation and the growing impact of AI. By providing detailed guidance on AI‑assisted creation, lawful data use for AI training, rightsholder reservations, user responsibilities, registration procedures, and digital administration, the decree enhances legal certainty and regulatory coherence while maintaining a human‑centric approach to copyright protection.

At the same time, it reinforces transparency, accountability, and fair remuneration, ensuring that technological innovation proceeds in harmony with the legitimate interests of authors, performers, and rightsholders. Taken together, these measures demonstrate the state’s commitment to effective IP management and to fostering a balanced, sustainable environment for creativity, innovation, and economic development in the digital and AI‑driven landscape.

This article first appeared in Managing Intellectual Property.

RELATED INSIGHTS​ 

June 23, 2026
On May 26, 2026, Thailand’s Department of Land Transport (DLT) published for public consultation a draft amendment to the Ministerial Regulation on Electronic Ride-Hailing Vehicles that would, for the first time, allow juristic persons (legal entities) to register vehicles as electronic ride-hailing cars—a right that currently belongs exclusively to natural persons, limited to one person per one vehicle. If finalized in its current form, the regulation would significantly expand the supply side of Thailand’s ride-hailing market by enabling corporate fleet operators to enter the space. The public comment period is open through June 24, 2026. Key Principles Under the Draft Regulation Under the proposed amendment, juristic persons that maintain a fleet of at least 50 vehicles will be permitted to register vehicles as electronic ride-hailing cars. This represents a fundamental shift from the current framework, which restricts registration to individual natural persons on a one-person-one-car basis. Vehicle Specifications Corporate-owned ride-hailing vehicles must meet the following requirements: Be brand new from the factory, or no more than two years old from first registration with no more than 20,000 km of use. Not be a vehicle that has been reconstructed or repaired after involvement in a serious accident affecting safety—a standard consistent with public transport vehicles (RorYor. 6). Be classified as small, medium, or large in accordance with ministerial or director-general specifications. The vehicles may be equipped with safety devices such as interior or exterior cameras (video/photo recording) and can retain the original factory color of the vehicle body (no mandatory color change is required). License Plates Corporate ride-hailing vehicles will use license plates of the same size, characteristics, and color as those for private passenger vehicles not exceeding seven seats (RorYor. 1), rather than public transport plates. Potential Impact The government has stated that the regulation is intended to: Promote
June 23, 2026
On May 14, 2026, Thailand published a ministerial regulation in the Government Gazette to prescribe measures for prevention and suppression of technology crimes. The regulation creates a comprehensive procedural framework for returning money and digital assets to victims of technology crimes. It will take effect 90 days after publication (in mid-August 2026), giving affected entities a limited window to prepare. Mandatory Reporting Obligations for Financial Institutions When a deposit account, e-money account, or digital asset wallet is frozen in connection with a technology crime, the relevant financial institution or business operator must report transaction data to the Anti-Money Laundering Office (AMLO) via AMLO’s designated electronic system. Required data elements include account numbers (sender and receiver), names, identification or passport numbers, legal entity registration numbers, phone numbers, remaining balance, damage amount, transaction reference numbers, and the bank case ID. Institutions that already share data through the information-sharing system under the emergency decree are deemed to have satisfied this reporting obligation, creating an incentive for platform participation. When the Royal Thai Police or the Department of Special Investigation seize or freeze assets related to technology crimes, they must provide AMLO with investigation reports, complaint evidence, money-trail data, and account statements. Notification and Claims Process Once the AMLO secretary-general approves verified reports of a technology crime, the account information of persons connected to the crime will be published in the Government Gazette, triggering a 90-day window for victims to file claims and for related persons to file objections. Officers will also publish details on AMLO’s electronic media and send registered mail to identified victims, which will be deemed received after 7 days domestically or 15 days internationally. Victims have 90 days from the date the crime is published in the Government Gazette to file claims through AMLO’s electronic system. Claims must include
June 15, 2026
The surge in AI development has led to a desperate demand for large, high-quality training data. However, real-world data can be expensive to collect, difficult to access, and often subject to strict privacy and regulatory constraints. Synthetic data, which consists of artificially generated records that replicate the statistical properties of real-world data without reproducing specific individuals’ information, provides an appealing solution by generating artificial datasets at scale without relying on identifiable personal information. It combines speed, cost efficiency, and regulatory compliance, making it a sensible alternative for organizations seeking to reduce risks while maintaining data utility. When properly anonymized, synthetic datasets may fall outside the scope of laws such as the EU’s General Data Protection Regulation (GDPR) or Thailand’s Personal Data Protection Act (PDPA), reducing compliance burdens while still supporting high-quality model training. However, relying on synthetic data without rigorous legal due diligence could be a strategic mistake. It replaces one set of known risks (scraping, direct privacy liability) with a new set of complex liabilities. The narrative that synthetic data is a “silver bullet” for privacy and IP compliance is dangerous and could be misleading. While synthetic data addresses data scarcity, it also introduces new legal uncertainties. Legal counsel should anticipate downstream risks arising from compromised data sources. Models trained on unlawfully obtained data may need to be decommissioned, even if their outputs appear lawful. What is synthetic data? Synthetic data refers to artificially generated information created using AI techniques such as deep learning and generative models. Instead of copying real records, it reproduces the statistical patterns and relationships found in the original dataset. Synthetic data generally falls into three categories: Fully synthetic data – Entirely new data points generated from learned patterns. The model studies the structure of the original data and produces records that resemble real-world
June 11, 2026
Thailand’s Electronic Transactions Development Agency (ETDA) has released a revised draft Electronic Transactions Act (ETA) for public hearing from May 12, 2026, to June 15, 2026. This is not merely an amendment to certain provisions of the current ETA, but a comprehensive redrafting of the entire act. The revised draft ETA introduces several significant changes from the current framework, with practical implications for businesses operating in Thailand. Unified Coverage of Public and Private Sectors The current law segregates government transactions into a separate chapter with distinct rules. The draft ETA eliminates this division, defining “transaction” to encompass civil and commercial juristic acts as well as administrative procedures, administrative contracts, and other acts of government agencies. Enhanced E-Signature Definition The definition of “electronic signature” is broadened to expressly include biometric data and refocused on identifying the signatory and demonstrating intent regarding the content of the electronic data. Shift in Burden of Proof When a party challenges the reliability of electronic data created using a “trusted electronic method” or a method prescribed by the ETDA, the burden of proof and the cost of proving unreliability shifts to the challenger. Introduction of New Digital Method Concepts The draft ETA introduces several new digital method concepts that are not currently recognized under the existing ETA framework. These include: Electronic timestamping (e-timestamp) Electronic registered delivery Electronic company seals Electronic stamp duty compliance Electronic identity authentication and verification Electronic transferable records (electronic bills of lading, promissory notes, and similar negotiable instruments) Recognition of Automated Systems and Electronic Contracting The draft ETA expressly recognizes the legal validity and enforceability of contracts formed through automated systems, including contracts concluded entirely between automated systems or between an automated system and a person. A party may not deny the binding effect of such contracts solely because no human review