mlsanityData to 14 Oct 2026

Developing an Ontology for AI Act Fundamental Rights Impact Assessments

arXiv 2501.10391 ↗First posted 20 Dec 2024cs.CY cs.AIcited by 2

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Abstract (arXiv)

The recently published EU Artificial Intelligence Act (AI Act) is a landmark regulation that regulates the use of AI technologies. One of its novel requirements is the obligation to conduct a Fundamental Rights Impact Assessment (FRIA), where organisations in the role of deployers must assess the risks of their AI system regarding health, safety, and fundamental rights. Another novelty in the AI Act is the requirement to create a questionnaire and an automated tool to support organisations in their FRIA obligations. Such automated tools will require a machine-readable form of information involved within the FRIA process, and additionally also require machine-readable documentation to enable further compliance tools to be created. In this article, we present our novel representation of the FRIA as an ontology based on semantic web standards. Our work builds upon the existing state of the art, notably the Data Privacy Vocabulary (DPV), where similar works have been established to create tools for GDPR's Data Protection Impact Assessments (DPIA) and other obligations. Through our ontology, we enable the creation and management of FRIA, and the use of automated tool in its various steps.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 21 references that are in the map. First posted on arXiv 20 Dec 2024.

Builds on

4 of 21 references.

References · 4

  1. 2024AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Actcited by 10
  2. 2024Data Privacy Vocabulary (DPV) -- Version 2cited by 7
  3. 2024The Fundamental Rights Impact Assessment (FRIA) in the AI Act: Roots, legal obligations and key elements for a model templatecited by 7
  4. 2024An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standardscited by 6

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Citing papers per year: 2026: 2.

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