Compliance with the EU AI Act requires practical tools and mechanisms that enable maintaining, querying, checking, and sharing information about AI systems and their associated risks in a Findable, Accessible, Interoperable, and Reusable (FAIR) manner. Addressing the existing absence of such tools, we leverage Semantic Web technologies to assist with a selected set of AI Act compliance tasks related to risk management, documentation, and registration. Building upon the state of the art, we provide a novel set of open, standards-based, and extensible artefacts, consisting of the following: (1) an automated rule-checking mechanism to determine the risk category as per the AI Act, (2) the AIUP (AI Use Policy profile), which provides a technical solution for declaring AI intended purposes as use policies, (3) a set of SPARQL queries to retrieve information featured in technical documentation, and (4) AICat (AI Catalogue vocabulary) to support the data governance requirements of the EU high-risk AI database. To demonstrate the applicability of the proposed artefacts, we provide proof-of-concept implementations and further explore the implications of adopting each artefact for the effective implementation and enforcement of the EU AI Act.
Golpayegani et al. (Mon,) studied this question.
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