Horizontal Regulatory Framework

A horizontal regulatory framework is a legal model that applies across all economic sectors, contrasting with 'vertical' frameworks that target specific industries like finance or healthcare. Its core objective is to provide a unified, foundational set of rules for general-purpose technologies like AI, preventing regulatory fragmentation. The most prominent example is the EU's Artificial Intelligence Act, which classifies AI applications into risk tiers (prohibited, high, limited, minimal) regardless of the industry. In enterprise risk management, this framework forms a baseline compliance layer, requiring organizations to establish comprehensive AI governance aligned with standards like ISO/IEC 42001 (AI Management System) to ensure consistent risk control and transparency.

Enterprises typically apply a horizontal framework in three steps. First, 'Inventory and Classification': Identify all AI systems and classify them according to the framework's risk tiers, such as the high-risk categories in Annex III of the EU AI Act. Second, 'Implementation of Requirements': For high-risk systems, implement mandated controls, including a risk management system (Article 9), high-quality data governance (Article 10), and comprehensive technical documentation. Third, 'Post-Market Monitoring': Establish processes to continuously monitor AI performance and report serious incidents. A Taiwanese manufacturer exporting to the EU, for instance, must apply this to its AI-powered quality control system, potentially increasing its audit pass rate to over 95%.

Taiwanese enterprises face three main challenges. First, 'Extraterritorial Scope': Many are unaware that regulations like the EU AI Act apply to them if their products or services enter the EU market. Second, 'Resource and Expertise Gaps': Implementing the required risk management and documentation demands specialized legal and technical talent, which is a significant burden for SMEs. Third, 'Regulatory Integration': Aligning stringent international rules like the GDPR and AI Act with Taiwan's local Personal Data Protection Act can be complex. Solutions include conducting a regulatory gap analysis, seeking external expert consultation to implement frameworks like ISO/IEC 42001, and establishing a cross-functional AI governance committee. The immediate priority is the gap analysis.

Winners Consulting specializes in horizontal regulatory framework for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact