Risk Term

AI Catalogue

AI Catalogue is a semantic-based information-sharing mechanism for AI systems, enabling compliance with the EU AI Act. It utilizes AIRO and VAIR frameworks to ensure AI risk--adjusted data--is Findable, Accessible, Interoperable, and Reusable (FAIR), facilitating automated compliance checks and regulatory reporting.

Curated by Winners Consulting Services Co., Ltd.

Questions & Answers

What is AI Catalogue?

AI Catalogue is a semantic-based information-sharing mechanism designed to facilitate compliance with the EU AI Act. It leverages the AI Risk Ontology (AIRO) and AI Risk Vocabulary (VAIR) to create a machine-readable framework for AI system information. This allows for automated risk-adjusted categorization, usage-policy declaration (AIUP), and streamlined regulatory reporting. Unlike static documentation, AI Catalogue enables real-time querying of AI system attributes via SPARQL, ensuring AI systems are Findable, Accessible, Interoperable, and Reusable (FAIR) across the AI lifecycle. This aligns with ISO 42001 AI Management System requirements for AI system transparency and AI Act Article 9-10 obligations for high-risk AI systems.

How is AI Catalogue applied in enterprise risk management?

Implementation follows a three-step approach: (1) AI Use Policy (AIUP)-profiling, where enterprises map AI system capabilities to semantic usage categories; (2) Automated Risk Classification, using AIRO-based rules to automatically categorize AI systems into EU AI Act risk tiers (Unacceptable, High, Limited, Minimal); (3) AI Catalogue-driven Compliance Reporting, where AI system attributes are queried and exported for regulatory submission. For example, a multinational company deploying AI for HR recruitment can use AI Catalogue to automatically flag high-risk AI systems under EU AI Act Annex III, reducing compliance-related manual labor by 70% and increasing audit accuracy by 45% compared to traditional spreadsheets.

What challenges do Taiwan enterprises face when implementing AI Catalogue?

Taiwan enterprises face three primary challenges: (1) Semantic Technical Gap—most companies lack expertise in AIRO/VAIR frameworks, requiring upskilling in AI-specific ontologies; (2) Data Silos—AI system information is often fragmented across RTO, Legal, and Operations, necessitating a centralized AI Governance Committee; (3) Regulatory Uncertainty—the pending Taiwan AI Basic Law will likely mirror EU AI Act's risk-based approach, making early adoption of AI Catalogue-like mechanisms critical for market access. Recommended Action: Start with a 90-day AI Use-Case Inventory, followed by a 6-month pilot of AIUP profiling, and a 12-month full integration of AI Catalogue-based compliance monitoring.

Why choose Winners Consulting for AI Catalogue?

Winners Consulting Services Co., Ltd. specializes in AI Catalogue for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact

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