About

Taiwan AI Labs utilizes open algorithms, source code, and federated learning to develop internationally trustworthy R&D outcomes. We integrate Taiwan’s talent, the advantages of the semiconductor supply chain, and a vast repository of comprehensive health and medical data to drive AI development in fields such as smart healthcare, human-computer interfaces, and Generative AI.

Furthermore, Taiwan AI Labs actively promotes the formation of Taiwan’s AI supply chain. Together with our strategic partner,TAIMedimg, we join hands with government ministries and the industry to promote “Federated Learning.” By using shared models to replace shared data, we build trustworthy AI technology that protects human rights and privacy, complies with tech ethics, and has gained widespread international recognition.

Another strategic partner of Taiwan AI Labs, Yating Intelligence Co., Ltd, focuses on developing “FedGPT,” an enterprise-grade AI solution platform tailored to Taiwan’s industrial needs. This platform keeps sensitive data—such as commercial secrets and customer privacy—within the organization, constructing an enterprise-exclusive “AI Brain” to significantly boost work efficiency and productivity.We continue to walk at the global forefront, integrating talent, resources, and supply chains to assemble a national AI team.

History

Foundation Phase

2018–2021: AI Action Plan 1.0 (capacity foundation)

Built national AI talent, semiconductor–AI integration, and digital infrastructure capacity.

Enterprise Security Relevance: Strengthened domestic AI capabilities and supply chain resilience, reducing dependency risk and improving control over critical AI infrastructure used by enterprises.

Healthcare & Federated AI Infrastructure

Sep 1, 2021: Taiwan Smart Healthcare Alliance (TSHA) established Cross-institution AI healthcare validation network.

Enabled regulated AI clinical trials and TFDA-aligned evaluation.

Established secure validation pathways for regulated AI systems, reducing liability exposure and ensuring healthcare AI systems meet compliance and data protection standards.

Nov 4, 2021: Taiwan Federated Learning Medical Alliance (FLMA) founded Privacy-preserving cross-hospital AI collaboration.

Federated learning architecture keeps patient data localized.Demonstrates a scalable privacy-by-design AI model that reduces centralized data breach risk and supports enterprise-grade data governance compliance.

Defense Technology & AI Integration

2019–2022: Expansion of AI-enabled defense R&D AI integration into drones, ISR, maritime monitoring, autonomous systems.

Advanced AI in autonomous systems drives innovation in edge AI, cybersecurity hardening, and resilient system architecture applicable to critical infrastructure and enterprise security.

2022–2024: AI-enabled unmanned systems acceleration Drone swarm experimentation, edge AI for battlefield analysis.

Accelerated development of distributed AI systems improves resilience against single-point failure risks and strengthens secure edge computing models relevant to enterprise environments.

2023: Undersea cable regulation strengthened Amendments to Telecommunications Management Act protecting submarine cables.

Enhances protection of critical digital backbone infrastructure, directly reducing enterprise exposure to connectivity disruption, supply chain interruption, and systemic operational risk.

Sovereign LLM & Trusted AI Infrastructure (FedGPT Track)

2023: FedGPT architecture development initiated
Goal: Build a trustworthy, federated, Traditional Chinese LLM with verifiable output capability.
Reduces reliance on opaque third-party LLM platforms, lowering risks related to data sovereignty, cross-border data exposure, and embedded bias.

Jan 26, 2024: Taiwan AI Labs launches FedGPT,600+ billion token Traditional Chinese large language model.

Provides public and private sectors with a locally governed, transparent AI model option aligned with compliance, data security, and internal governance requirements.

2024–2025: FedGPT ecosystem expansionIntegration into healthcare, financial, and public-sector use cases.

Creates government and enterprise-grade AI infrastructure that supports sensitive-sector deployment without exposing proprietary or regulated data to external model providers.

Governance Acceleration & Economic Security

Apr–Jun 2023: AI Taiwan Action Plan 2.0 announced

Emphasizes governance, federated AI, regulatory testbeds.

Creates structured AI governance frameworks that reduce government and enterprise regulatory uncertainty and operational risk.

May–Jun 2023: Executive Yuan Anti-Fraud Office inaugurated Whole-of-government anti-scam ecosystem.Strengthens cross-sector fraud detection capabilities, protecting enterprises from AI-driven impersonation attacks and financial loss.

Oct 16, 2023: Eagle Eye Anti-Fraud Alliance launched

Banking,telecom and law enforcement coalition.Demonstrates multi-stakeholder AI-based fraud monitoring architecture that enterprises can integrate into risk management strategies.

Oct 17, 2023: FSC finance AI “Core Principles” issued AI risk management framework for financial institutions.

Introduces lifecycle AI governance standards that reduce operational, compliance, and reputational risks for enterprises deploying AI systems.

Cognitive Security & Information Resilience (Taiwan AI Labs Track)

2020–2023: Infodemic platform development
Real-time narrative tracking and coordinated behavior detection.Enhances enterprise capacity to detect FIMI (Foreign Information Manipulation and Interference), brand manipulation, and reputational attacks amplified by AI systems.

Apr 17, 2024: 2024 Taiwan Election Cyber Info Manipulation Report published

First LLM-supported large-scale cognitive warfare analysis.

Provides analytical methodologies for identifying coordinated AI-amplified campaigns that enterprises can adapt for cybersecurity and brand protection monitoring.

Financial & Legal Reinforcement

Jun 20, 2024: FSC finance AI Guidelines issued
Operational lifecycle governance requirements.
Strengthens enterprise AI governance maturity models and clarifies accountability standards.

Jul 15, 2024: NSTC Draft AI Basic Act consultation opened
National principles-based AI governance framework.
Signals predictable regulatory direction, reducing long-term compliance uncertainty for enterprises.

Jul 31, 2024: Fraud Crime Hazard Prevention Act effective

Cross-sector legal authority linking finance, telecom, and platforms.Enhances systemic fraud mitigation infrastructure, lowering enterprise exposure to AI-driven scams.

Nov 2024: Anti-fraud strategy guidelines 2.0 released

Strengthens AI-driven prevention and cross-border enforcement.

Improves institutional coordination against AI-enabled cybercrime impacting enterprises.

National Security Integration

Jan–Apr 2025: MODA Public Sector AI Playbook rollout

AI governance procedures for government agencies.Provides governance best practices that enterprises can mirror to strengthen internal AI risk assessment and procurement standards.

Apr 8, 2025: National Security Bureau reports rising AI-assisted disinformation operations

Formal recognition of AI-enabled hybrid threat landscape.Highlights the growing reputational and operational risks enterprises face from AI-driven misinformation and synthetic media campaigns.

Key regulatory participating and compliance developments

Aug 28, 2025: Executive Yuan approves draft AI Basic Law

Dec 23, 2025: Legislative Yuan passes AI Fundamental Act

Jan 14, 2026: AI Fundamental Act enters into force

Establishes legal baseline for human rights, transparency, accountability.

Creates a predictable compliance environment and clarifies enterprise obligations for responsible AI deployment.

Strategic Interpretation

By 2026, Taiwan’s AI strategy forms a comprehensive government and enterprise security–aligned AI governance architecture:

Legal Framework : Predictable AI compliance environment

Financial AI Defense : AI-enabled fraud mitigation ecosystem

Cognitive Security : Brand & reputation protection capability

Sovereign LLM (FedGPT) : Data sovereignty & model governance control

Defense AI Innovation : Secure edge AI & resilient distributed systems

Infrastructure Protection : Digital backbone continuity assurance
Taiwan’s AI governance evolution demonstrates:

1.Secure AI deployment under high-risk digital conditions

2.Federated and privacy-preserving AI architecture

3.Trusted LLM development (FedGPT) with governance controls

4.Cross-sector fraud mitigation infrastructure

5.Legal codification of responsible AI principles

Taiwan represents a practical case study of AI governance aligned with enterprise security, resilience, and digital sovereignty.

Taiwan AI labs formed a strategic partnership with DS Federal, a leader in U.S. health IT and data analytics, to introduce innovative solutions to the U.S. public health and national security markets.