Fundamental Rights Impact Assessments in the EU’s AI Act : A teleological and contextual analysis of the obligations of deployers

This article examines the obligation for public-sector deployers to conduct Fundamental Rights Impact Assessments (FRIAs) under Article 27 of the EU Artificial Intelligence Act (AI Act). The article argues that the FRIA obligation functions as a minimum harmonisation standard, granting Member State authorities discretion to go beyond the AI Act's baseline and conduct more rigorous fundamental rights scrutiny prior to deployment. In contrast, the AI Act's obligations on providers of high-risk AI systems are fully harmonised, primarily structured around internal market objectives and designed to facilitate the free circulation of AI technologies across the EU. By drawing a distinction between these two regulatory logics, the article demonstrates that decisions by public authorities not to deploy AI, or to conduct broader or deeper FRIA impact assessments than required by Article 27, fall outside the scope of EU law. Drawing a parallel with free movement of goods caselaw, the article argues that such decisions are akin to ‘selling arrangements. Consequently, they are not subject to challenge under internal market or fundamental rights provisions of EU law by affected providers. The article concludes that the FRIA mechanism offers Member States a critical lever to secure fundamental rights and foster human-centric and trustworthy AI.

Publication Details

Journal
Lund University Publications (Lund University)
Published
2025-12-31
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fundamental Rights Impact Assessments in the EU’s AI Act : A teleological and contextual analysis of the obligations of deployers

Lund University Publications (Lund University)
Ethics and Social Impacts of AI
article

Fundamental Rights Impact Assessments in the EU’s AI Act : A teleological and contextual analysis of the obligations of deployers

article en

Abstract

This article examines the obligation for public-sector deployers to conduct Fundamental Rights Impact Assessments (FRIAs) under Article 27 of the EU Artificial Intelligence Act (AI Act). The article argues that the FRIA obligation functions as a minimum harmonisation standard, granting Member State authorities discretion to go beyond the AI Act's baseline and conduct more rigorous fundamental rights scrutiny prior to deployment. In contrast, the AI Act's obligations on providers of high-risk AI systems are fully harmonised, primarily structured around internal market objectives and designed to facilitate the free circulation of AI technologies across the EU. By drawing a distinction between these two regulatory logics, the article demonstrates that decisions by public authorities not to deploy AI, or to conduct broader or deeper FRIA impact assessments than required by Article 27, fall outside the scope of EU law. Drawing a parallel with free movement of goods caselaw, the article argues that such decisions are akin to ‘selling arrangements. Consequently, they are not subject to challenge under internal market or fundamental rights provisions of EU law by affected providers. The article concludes that the FRIA mechanism offers Member States a critical lever to secure fundamental rights and foster human-centric and trustworthy AI.

Lund University Publications (Lund University)
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.