A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act

A new Semantic Web-based framework has been developed to facilitate Fundamental Rights Impact Assessments (FRIAs) as mandated by Article 27 of the EU AI Act. This framework addresses the challenge of fragmented evidence by consolidating data from diverse sources into a SPARQL-queryable knowledge graph, specifically for high-risk AI systems in employment/worker management and access to essential public services. The framework, demonstrated with a 150-record corpus, aims to improve the credibility and efficiency of these legally required assessments.

The ability to conduct credible and efficient Fundamental Rights Impact Assessments is crucial for organisations deploying high-risk AI systems under the EU AI Act. This framework provides a structured approach to evidence consolidation, mitigating compliance risks and fostering responsible AI deployment across public sector domains.

The EU AI Act (Art. 27) mandates Fundamental Rights Impact Assessments (FRIAs) for high-risk AI systems prior to deployment.

Forward consideration, not a verified fact.