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The Act is a horizontal framework statute — it sets principles, governance architecture, and institutional mandates rather than imposing direct licensing or conformity-assessment obligations on individual AI systems (the EU AI Act model). The key structural features:
Institutional architecture. NSTC becomes the "control tower" for national AI policy, coordinating sectoral regulators that retain vertical competence: the Financial Supervisory Commission (FSC) for financial-sector AI, the National Communications Commission (NCC) for telecoms-sector AI, the Ministry of Health and Welfare (MOHW) for medical and pharmaceutical AI, and the Ministry of Transportation and Communications (MOTC) for autonomous-vehicle and logistics AI. Within two years of promulgation (by January 2028), each sectoral regulator must issue implementing rules aligned with the Act's seven principles.
National AI Strategy Committee. The Executive Yuan must establish an inter-agency National AI Strategy Committee chaired by the Premier, with members drawn from academia, industry, agency heads, and local government, meeting at minimum annually. NSTC provides administrative support. The Committee formulates AI development guidelines and reviews implementing rules — effectively a standing governance body that did not previously exist in Taiwan's regulatory architecture.
Seven core principles (Article 5). All government AI procurement, public-sector AI deployment, and licensed-sector AI applications must adhere to: (1) sustainability and well-being, (2) human autonomy, (3) privacy protection and data governance, (4) cybersecurity and safety, (5) transparency and explainability, (6) fairness and non-discrimination, (7) accountability. These principles operate as juridical standards against which sector-specific implementing rules will be assessed.
Supply-chain and industrial-policy dimension. Articles mandate government action to promote AI R&D budgets, AI industry subsidies and preferential measures, regulatory-sandbox environments, talent cultivation, AI infrastructure development (compute + data centres with green-energy sourcing), and data-governance mechanisms. This directly extends the Taiwan AI Action Plan 2.0 (operational since 2023) and integrates it with the National Science and Technology Development Plan — providing fiscal-programme continuity regardless of future election outcomes.
regulatory environment for AI hardware development, giving multinational customers (NVIDIA, AMD, Apple, Google, Microsoft, Meta, Amazon) a statutory governance anchor for AI-supply-chain due-diligence disclosures required under the EU AI Act's upstream obligations (Art. 25 EEA-placed provider obligations where components are incorporated into EU-destined AI systems).
Inventec, Wistron, Compal, Pegatron — collectively accounting for ~80% of global AI server market by unit volume — must align internal AI-system deployments with NSTC governance principles from January 2026 and sector-specific implementing rules by January 2028. This raises compliance-design costs but also positions Taiwan OEMs favorably in the EU market as "globally aligned" suppliers under the EU AI Act.
advanced-node logic (N3/N2/A14 roadmap), are increasingly classified as AI-compute infrastructure rather than generic semiconductor manufacturing. The Act's data-governance and cybersecurity provisions will apply to AI systems embedded in design-automation and process-optimisation toolchains at fab level — triggering NCC + MOHW joint-rulemaking on industrial AI.
will cover AI-driven credit scoring, fraud detection, algorithmic trading, and robo-advisory products — consistent with the trajectory of the EU AI Act's financial-services annexes and Korea's FSS guidance issued under the South Korea AI Basic Act.
worldwide (after EU and South Korea) and the first in the Greater China region to have a horizontal AI governance statute. This creates pressure on Hong Kong, Singapore, and Japan (which has a non-binding AI governance framework) to advance more formal legislative approaches.
risk-tiering rules comparable to the EU AI Act's Annex III prohibited-use and high-risk lists, or focus primarily on industrial promotion?
outside Taiwan that are deployed to Taiwanese users (the EU AI Act model)? Implementing rules will determine this.
Taiwan's export-control regime (MOEA SHTC entity list) for AI systems that include dual-use compute components?
have their own regulatory calendars; calendar-year 2026 will reveal whether the two-year implementation window is adhered to.