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Article 27 — Fundamental Rights Impact Assessment (FRIA)

Public-sector deployers and certain essential-services deployers must conduct a Fundamental Rights Impact Assessment before first deployment.

Audit-survivable
17%
of 50 EU-exposed enterprises in MindMap's 2026 readiness benchmark

What the Article requires

Article 27 obliges specific deployer categories — public-sector bodies, private bodies providing public services, deployers of credit-scoring and insurance-pricing AI — to perform a Fundamental Rights Impact Assessment before first use of a high-risk AI system. The assessment must describe deployment processes, the categories of natural persons affected, specific risks of harm to affected persons, human-oversight measures, and the measures to be taken if risks materialise.

In engineering terms

FRIAs sit alongside DPIAs (under GDPR Article 35) but are more focused on fundamental rights — non-discrimination, dignity, freedom of expression, fair trial — rather than data-protection narrowly. Template-and-fill works once an enterprise has done one or two; the first one is the hardest. MindMap maintains a FRIA template developed against the Council of Europe FRIA framework that maps cleanly to the EU AI Act's specific requirements.

Compliance checklist

  • ✓FRIA performed before first deployment of in-scope high-risk AI
  • ✓Deployment process description
  • ✓Categories of natural persons affected identified
  • ✓Specific risks of harm catalogued
  • ✓Human-oversight measures matched to risks
  • ✓Risk-materialisation response plan

Terms used here

EU AI ActAnnex III high-risk AI

All Articles in the reference · The EU AI Act compliance architecture

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The EU AI Act Readiness Kit puts this checklist, and the other 13 Articles', into one fill-in PDF with room for an owner, evidence location and target date on every item. Plus an AI system inventory, a classification record, an Annex IV outline and a FRIA template.

  • 01How to use this kit. Four steps, and which checklists apply to each classification result.
  • 02AI system inventory. One row per AI system: owner, what it does, built or bought, your role and its classification.
  • 03Classification record. The five questions from our applicability checker, with space for answers, notes and the result.
  • 04Evidence checklists. 72 evidence items across Articles 9 to 15, 25, 26, 27, 50, 53, 55 and 72, each with an owner, evidence location and target date.
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