Artificial Intelligence Act

The Artificial Intelligence Act is a comprehensive legal framework designed to regulate the development, market placement, and use of AI systems. The most prominent example is the EU AI Act (Regulation (EU) 2024/1689), the world's first horizontal AI regulation. It employs a risk-based approach, categorizing AI systems into four tiers: unacceptable risk (e.g., social scoring), high-risk (e.g., recruitment, credit scoring), limited risk (e.g., chatbots), and minimal risk. The Act mandates that high-risk AI systems undergo rigorous conformity assessments before market entry and throughout their lifecycle. It transforms AI governance from voluntary best practices, as outlined in standards like ISO/IEC 42001 (AI Management System), into a legal obligation. Unlike data protection laws like GDPR, the AI Act focuses on the safety, transparency, and fundamental rights impact of the AI system itself.

Enterprises apply the AI Act in risk management through a systematic process. Step 1: AI System Inventory and Classification. Conduct a full inventory of all AI systems and classify them according to the Act's criteria (e.g., Article 6 and Annex III for high-risk). Step 2: Establish a Risk Management System. For high-risk AI, implement a continuous risk management process as required by Article 9, covering the entire lifecycle from design to post-market monitoring. This can be structured using the ISO/IEC 42001 framework. Step 3: Technical Documentation and Transparency. Prepare detailed technical documentation as specified in Annex IV and ensure clear instructions and transparency for users. A Taiwanese FinTech company, for instance, successfully deployed its AI credit model in the EU by following these steps, achieving a 98% compliance documentation rate and avoiding potential fines of up to 7% of global annual turnover.

Taiwanese enterprises face three key challenges with the EU AI Act. First, its extraterritorial scope; many are unaware that offering AI services to EU users makes them subject to the law. The solution is to conduct a legal applicability assessment and align internal governance with the Act as a global baseline. Second, the high cost and technical complexity of compliance for high-risk AI. The mitigation strategy is to adopt a 'compliance-by-design' approach and leverage frameworks like ISO/IEC 42001 to streamline efforts. Third, a shortage of interdisciplinary talent skilled in AI, law, and risk management. Enterprises should invest in cross-functional training, establish an AI governance committee, and partner with external experts like Winners Consulting to bridge the knowledge gap and accelerate implementation.

Winners Consulting specializes in the Artificial Intelligence Act for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact