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AI in ASIA
AI governance Taiwan
Greater China

Taiwan: Draft AI Act Balancing Innovation and Accountability

Taiwan is developing a comprehensive AI governance law that combines accountability, transparency, and proportional oversight.

Anonymous1 min read

AI Snapshot

The TL;DR: what matters, fast.

Taiwan is drafting a comprehensive AI law with clear risk tiers.

Focus on accountability, fairness, and transparency.

Businesses should prepare early through documentation and testing.

Who should pay attention: Taiwanese lawmakers | AI developers | Ethicists | Digital rights advocates

What changes next: The draft bill will undergo further review and public consultation.

north-asia
Taiwan
legislative draft

Quick Overview

Taiwan is taking a major step toward formal governance with its proposed Basic Act on Artificial Intelligence.

Unlike neighbouring markets that rely on principles or sector rules, Taiwan’s Act introduces structured accountability and risk-based oversight.

The draft aims to promote innovation while ensuring that significant systems operate safely and transparently.

What's Changing

  • The National Development Council (NDC) released the draft Basic Act on Artificial Intelligence for consultation in 2025.
  • The Act introduces risk tiering for general, limited-risk, and high-risk use cases.
  • Developers and deployers must meet transparency, documentation, and safety-testing obligations depending on risk class.
  • Public-sector systems with material impact will require registration and impact disclosures.
  • Administrative fines and corrective orders are proposed for serious non-compliance.

Who's Affected

  • Technology companies creating or integrating predictive systems.
  • Public-sector agencies deploying systems that influence welfare, education, or administrative decisions.
  • Enterprises using automated systems in hiring, credit, insurance, and healthcare.
  • Foreign vendors selling tools or platforms used in Taiwan.

Core Principles

  1. Accountability: Shared duties across developers and deployers.
  2. Transparency: Clear documentation of automated decisions.
  3. Fairness: Systems must not create discriminatory outcomes.
  4. Data protection: Alignment with Taiwan’s Personal Data Protection Act.
  5. Risk proportion: Oversight increases with potential impact.

What It Means for Business

  • Companies operating in Taiwan should prepare early by mapping their system portfolio and identifying risk levels.
  • Vendor contracts should reflect shared responsibility for fairness, testing, and documentation.
  • Pilot audits and internal governance structures will position organisations well ahead of formal enforcement.
  • Adopting international standards (ISO/IEC, OECD) can simplify compliance.

What to Watch Next

  • Parliamentary debate and amendments to the draft Basic Act.
  • Creation of a national oversight authority or coordination office.
  • Pilot audits in public services before full enforcement.
  • Coordination with Japan, Singapore, and the EU on risk-tiering standards.

← Scroll to see full table →

AspectTaiwanJapanSouth Korea
Approach TypeDraft legislationPrinciplesRights-based
Legal StrengthPendingVoluntaryModerate
Focus AreasAccountability, risk levelsFairness, safetyPrivacy, fairness
Lead BodiesNational Development CouncilMETI, Cabinet OfficeMSIT, PIPC

Related coverage on AIinASIA explores how these policies affect businesses, platforms, and adoption across the region. View AI regulation coverage

This overview is provided for general informational purposes only and does not constitute legal advice. Regulatory frameworks may evolve, and readers should consult official government sources or legal counsel where appropriate.

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