🇹🇼Taiwan

Overview

Taiwan’s approach to artificial intelligence (AI) regulation is fundamentally shaped by its unique position as a global semiconductor powerhouse and its strategic ambition to become an "Island of Artificial Intelligence." Under the leadership of the Executive Yuan, Taiwan has transitioned from a purely promotional policy environment to a sophisticated, multi-layered regulatory framework. This evolution is driven by the need to maintain technological competitiveness while addressing the ethical, social, and legal challenges posed by generative AI and automated decision-making. The regulatory philosophy is characterized by a "dual-track" strategy: aggressively funding R&D and infrastructure through initiatives like the Taiwan AI Action Plan 2.0, while simultaneously establishing legal boundaries through the National Artificial Intelligence Basic Act. The maturity of Taiwan's AI landscape is evident in its institutional depth. The government has moved beyond high-level principles to create functional bodies such as the AI Product and System Evaluation Centre (AIEC) and the Taiwan AI Center of Excellence (AICoE). These organizations provide the technical and ethical scaffolding necessary for both public and private sector adoption. Furthermore, Taiwan’s regulatory environment is deeply integrated with its democratic values, emphasizing transparency, accountability, and the protection of human rights. This is particularly visible in how the government handles data privacy and linguistic inclusivity, ensuring that AI systems developed or deployed in Taiwan reflect the nation's diverse cultural and linguistic heritage while adhering to international norms of digital governance. The strategic focus on "Trustworthy AI" is not just a regulatory requirement but a competitive advantage, positioning Taiwan as a reliable partner in the global technology supply chain.

Regulatory approach

Taiwan employs a hybrid regulatory model that blends horizontal, cross-sectoral legislation with specific, sector-led guidelines. The cornerstone of this approach is the National Artificial Intelligence Basic Act, which serves as a "constitutional" document for AI, setting out seven foundational principles: transparency, privacy, autonomy, fairness, cybersecurity, sustainable development, and accountability. This horizontal layer ensures a consistent ethical baseline across all applications. Complementing this is a risk-based classification system, largely inspired by the European Union’s regulatory philosophy. This system distinguishes between low-risk applications, which enjoy a lighter regulatory touch to foster innovation, and high-risk systems—such as those used in healthcare, finance, or public safety—which are subject to rigorous evaluation and certification requirements. In addition to binding legislation, Taiwan makes extensive use of "soft law" and policy frameworks to guide the industry. The Ministry of Digital Affairs (MODA) and the National Science and Technology Council (NSTC) issue guidelines and best practices that serve as precursors to formal regulations. This allows the government to remain agile in the face of rapid technological shifts, such as the rise of Large Language Models (LLMs). The regulatory approach also emphasizes "co-regulation," where the government collaborates with industry leaders and academic institutions to develop technical standards. This is exemplified by the AIEC’s evaluation protocols, which are developed in partnership with the Industrial Technology Research Institute (ITRI) to ensure they are technically feasible and commercially viable. The government also utilizes regulatory sandboxes, particularly in the transportation and financial sectors, to allow for controlled experimentation with emerging AI technologies before full-scale deployment. The governance of AI in Taiwan is distributed across several key agencies, with the Ministry of Digital Affairs (MODA) serving as the primary implementing authority. MODA is responsible for the overall digital infrastructure and the promotion of the AI industry. Within MODA, the Administration for Digital Industries (ADI) manages the practical application of AI standards and the certification of AI products. MODA’s role is central to the "Three Arrows of AI" strategy, which focuses on establishing guidelines, laying infrastructure foundations, and promoting real-world implementation. They also oversee the AI Product and System Evaluation Centre (AIEC), which conducts technical audits and issues trust certifications for AI systems. The National Science and Technology Council (NSTC) plays a vital role in the research and development phase, coordinating national AI policy and overseeing the Taiwan AI Center of Excellence (AICoE). While MODA focuses on industry and regulation, the NSTC focuses on the long-term scientific trajectory and the integration of AI into Taiwan's semiconductor supply chain. Additionally, the Personal Data Protection Commission (PDPC), established as an independent agency in 2025, provides oversight on how AI systems interact with personal data. This multi-agency approach ensures that AI regulation is not siloed but is instead integrated into broader national strategies for cybersecurity, economic development, and civil rights protection. Other relevant bodies include the Financial Supervisory Commission (FSC) and the Ministry of Health and Welfare (MOHW), which manage AI applications within their respective domains, ensuring that sector-specific risks are addressed by experts in those fields.

Enforcement & penalties

Enforcement of AI regulations in Taiwan is primarily handled through administrative sanctions and civil liabilities, with criminal penalties reserved for the most egregious violations. Under the Personal Data Protection Act (PDPA), entities that fail to secure personal data or misuse it in AI training can face administrative fines ranging from NT$20,000 to NT$15 million for serious breaches. The PDPC has the authority to conduct unannounced audits, issue cease-and-desist orders, and mandate the deletion of illegally processed datasets. If a data breach affects a large number of individuals, the law allows for class-action lawsuits, significantly increasing the financial risk for non-compliant AI developers. The National Artificial Intelligence Basic Act introduces specific enforcement mechanisms for high-risk AI systems. Developers and deployers who fail to comply with transparency requirements or who deploy "unacceptable risk" AI (such as social scoring systems or unauthorized biometric surveillance) can be ordered to suspend operations. The Act also establishes a "rebuttable presumption" in certain civil cases, where the burden of proof may shift to the AI developer to demonstrate that their system did not cause the harm in question. This is a significant legal shift intended to protect consumers in cases where the complexity of the AI model makes it difficult for the plaintiff to prove causation. Appeals against regulatory decisions are handled through the administrative court system, ensuring that enforcement actions are subject to judicial review and adhere to due process. Furthermore, the government has the power to exclude non-compliant companies from public procurement processes, providing a strong economic incentive for adherence to AI ethical standards.

Data protection

Taiwan’s data protection framework is anchored by the Personal Data Protection Act (PDPA), which was substantially updated to meet the challenges of the AI era. The PDPA applies to both government and private entities and has extraterritorial application, meaning it covers foreign AI companies processing the data of Taiwanese citizens. The Act defines personal data broadly, including biometric data, financial records, and social activity data—all of which are critical for AI training. A key requirement is the "purpose limitation" principle, which mandates that data collected for one purpose cannot be used for AI model training without explicit, informed consent or a clear legal basis. The establishment of the Personal Data Protection Commission (PDPC) in 2025 marked a significant shift toward independent oversight. Previously, data protection was overseen by various sector-specific ministries, leading to inconsistent enforcement. The PDPC now serves as a centralized, independent authority with the power to issue binding interpretations of the PDPA. For AI companies, this means stricter requirements for Data Protection Impact Assessments (DPIAs) and the mandatory appointment of Data Protection Officers (DPOs) for public sector entities and large-scale data processors. The framework also restricts cross-border data transfers to countries that do not provide an adequate level of protection, a move that aligns Taiwan with global standards like the GDPR. This alignment is intended to facilitate an "adequacy decision" from the European Union, which would allow for the seamless flow of data between Taiwan and the EU, further integrating Taiwan into the global digital economy and ensuring that Taiwanese AI firms can compete on a level playing field.

Sector-specific rules

In addition to national laws, several sectors have developed specialized AI rules. In the financial sector, the Financial Supervisory Commission (FSC) has issued the "Guiding Principles for AI in the Financial Industry." These guidelines emphasize the "human-in-the-loop" principle, requiring that significant financial decisions—such as credit scoring or algorithmic trading—must have human oversight. Financial institutions are also required to ensure that their AI models do not result in discriminatory lending practices and must maintain high levels of explainability for their algorithms to protect consumer rights. In healthcare, the Ministry of Health and Welfare (MOHW) and the National Health Insurance Administration have established protocols for the use of AI in medical diagnostics and drug discovery. AI-driven medical devices must undergo a specialized certification process that evaluates clinical safety and efficacy, often involving rigorous clinical trials. Similarly, in the realm of smart cities and transportation, the Ministry of Transportation and Communications (MOTC) oversees the testing of autonomous vehicles through dedicated regulatory sandboxes. These sandboxes allow companies to test AI-driven mobility solutions in controlled environments, exempting them from certain traffic laws in exchange for rigorous data sharing and safety monitoring. The Ministry of Education has also released guidelines for the use of AI in schools, focusing on academic integrity and the ethical use of generative AI by students and faculty. These sector-specific rules ensure that the unique risks associated with different AI applications are managed by the relevant authorities while remaining consistent with the national AI Basic Act, creating a cohesive yet specialized regulatory environment.

International alignment

Taiwan’s AI regulatory strategy is heavily influenced by international norms, particularly the EU AI Act and the OECD AI Principles. By aligning its National Artificial Intelligence Basic Act with these frameworks, Taiwan aims to ensure that its AI products are "compliant by design" for global markets. This alignment is crucial for Taiwan's export-oriented economy, as it allows domestic AI firms to navigate international regulatory hurdles more easily. Taiwan actively participates in international forums and has sought to establish bilateral agreements on AI safety and semiconductor security with partners like the United States, Japan, and the European Union. Furthermore, Taiwan has focused on "Trustworthy AI" as a diplomatic and economic brand. By establishing the AIEC and adopting rigorous evaluation standards that mirror those of the US National Institute of Standards and Technology (NIST), Taiwan positions itself as a reliable partner in the global AI supply chain. This international alignment also extends to the fight against disinformation; Taiwan has integrated AI governance with its efforts to combat deepfakes and foreign interference, sharing its expertise in "AI for Democracy" with international partners. The government also monitors developments in the G7 Hiroshima AI Process and the UN’s AI advisory body to ensure that its domestic policies remain at the forefront of global trends. This commitment to global standards ensures that Taiwan remains a central node in the development of ethical and secure AI technologies, reinforcing its role as a trusted provider of both hardware and software in the AI era. This proactive stance helps Taiwan mitigate geopolitical risks while maximizing its technological influence.

What's next

The next phase of Taiwan’s AI journey will focus on the full operationalization of the Personal Data Protection Commission (PDPC) by August 2025 and the implementation of subordinate regulations under the AI Basic Act. These subordinate rules will define the specific technical criteria for risk classification and the exact standards for AI transparency reports. The government is also expected to launch more specialized "AI Industrial Parks" that provide startups with subsidized access to high-performance computing (HPC) resources and regulatory sandboxes, further lowering the barrier to entry for domestic AI innovation. Looking toward 2026, the Taiwan AI Action Plan 2.0 aims to reach an industry value of over NT$250 billion. To achieve this, the government will likely introduce new incentives for "Edge AI" development, leveraging Taiwan's hardware strengths to move AI processing from the cloud to local devices, which enhances both privacy and performance. There is also ongoing consultation regarding the regulation of Generative AI in the workplace and educational settings, with the Ministry of Education and the Ministry of Labor expected to issue specific guidelines to prevent AI-driven plagiarism and ensure fair labor practices in an increasingly automated economy. Another key area of focus will be the development of a "Taiwan-specific LLM" (Trustworthy AI Dialogue Engine - Taide), which aims to provide a foundation model that is culturally and linguistically attuned to Taiwan's specific needs, reducing reliance on foreign models and ensuring data sovereignty. These developments will solidify Taiwan's position as a global leader in ethical AI development and deployment.