Record STMT-WBF6C88Soft law

Artificial Intelligence Basic Act

Legislation State lawTWadopted

Taiwan's Artificial Intelligence Basic Act establishes core principles for government AI research, development, and applications, while providing policy incentives to accelerate industrial innovation. The Act outlines seven core principles including human autonomy, privacy protection, fairness, and accountability. It also details implementation measures, industrial promotion pillars, and future implementation directions such as establishing AI risk taxonomies and verification tools.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Ministry of Digital AffairsGovernment (executive) · TW

Lead issuer

Legal forceSoft law

Under whose authorityState law

Judged fromfull text

Who it governs

National governmentPublic sector bodiesCompaniesAI developers and providersResearchers and academics

Policymakers, researchers, companies, and public sector bodies looking to understand Taiwan's national legislative framework and strategic directions for artificial intelligence governance.

Sectors

Cross-sectorTelecommunications and digital services · digital environment and AI

What the document contains

What's covered

The document addresses the foundational legal and policy principles for AI R&D and application in Taiwan, covering government promotion guidelines, social responsibility measures, industrial incentives, and future risk management and evaluation frameworks.

What's missing

The text does not provide specific legal penalties for non-compliance, detailed statutory text articles, or precise operational definitions for all outlined technical terms.

Key takeaways

The Artificial Intelligence Basic Act establishes core principles for government R&D and applications in Taiwan.
The framework adheres to seven core concepts, including sustainable development, human autonomy, privacy protection, cyber security, transparency, fairness, and accountability.
Implementation measures include bridging the digital divide, ensuring robustness, labeling AI-generated content, and promoting environmental sustainability.
Industrial promotion pillars feature dedicated budgets, subsidies, sandbox environments, talent development, and data governance mechanisms.
Future implementation directions involve developing an AI risk taxonomy, evaluation tools, and expanding data opening and sharing mechanisms.

Principles it states

Sustainable Development and Well-beingHuman AutonomyPrivacy Protection and Data GovernanceCyber Security and SafetyTransparency and ExplainabilityFairness and Non-discriminationAccountability

Outline

· I. Seven Core Principles for Government Promotion of AI R&D and Application
· II. Implementation Measures and Social Responsibility
· III. Key Pillars of Industrial Promotion
· IV. Future Implementation Directions

Issued30 April 2026

Length425 words

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

1/5

Clear responsibility for AI outcomes

Accountability

I. Seven Core Principles for Government Promotion of AI R&D and Application

screening score · 2026-10-23

Fairness

1/5

Non-discrimination and equitable treatment

Fairness and Non-discrimination

I. Seven Core Principles for Government Promotion of AI R&D and Application

screening score · 2026-10-23

Human Dignity

1/5

Respect for the inherent worth of persons

Human Autonomy

I. Seven Core Principles for Government Promotion of AI R&D and Application

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Privacy

1/5

Protection of personal data and private life

Privacy Protection and Data Governance

I. Seven Core Principles for Government Promotion of AI R&D and Application

screening score · 2026-10-23

Transparency

1/5

Openness about how AI systems work and are used

Transparency and Explainability

I. Seven Core Principles for Government Promotion of AI R&D and Application

screening score · 2026-10-23

Enforcement

1/5

Consequences and compliance mechanisms with real force

formulating risk-based management regulations

IV. Future Implementation Directions

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Establishing an AI Risk Taxonomy and Assessment Framework: Supporting sectoral competent authorities in risk identification, assessment, and response

IV. Future Implementation Directions

screening score · 2026-10-23

Topics

artificial_intelligence ai_basic_act data_governance cyber_security industrial_promotion