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Risk Classification Analysis Service for the EU AI Act
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems. RISE Research Institutes of Sweden.ORCID iD: 0009-0000-7642-6938
2025 (English)Report (Other academic)
Abstract [en]

This report presents the Risk Classification Analysis Service developed at RISE to support early implementation of the EU Artificial Intelligence Act (Regulation (EU) 2024/1689).

The service offers a structured methodology for preliminarily assessing whether AI systems may fall under the Act’s High-Risk category and for identifying related compliance measures.

It combines questionnaire-based information collection, analytical workshops, and preliminary classification, resulting in a final report that documents assumptions, explains the rationale for the classification, highlights compliance gaps, and provides recommendations for preparation toward conformity assessment.

Pilot applications in manufacturing and energy showed that classification outcomes depend strongly on deployment context and on how regulatory criteria are interpreted, particularly when determining whether an AI system falls within an Annex III area, supports critical-infrastructure operation, or functions as a safety component of an Annex I–regulated product.

The report also summarises key findings, challenges and lessons learned from applying the methodology in practice.

Place, publisher, year, edition, pages
RISE , 2025.
Series
RISE Rapport ; 2025:112
Keywords [en]
EU AI Act, High-Risk AI systems, Risk Classification, Compliance Assessment, Annex I, Annex II
National Category
Artificial Intelligence
Identifiers
URN: urn:nbn:se:ri:diva-79329ISBN: 978-91-90109-03-8 (print)OAI: oai:DiVA.org:ri-79329DiVA, id: diva2:2017224
Projects
CitCom.ai
Funder
European CommissionAvailable from: 2025-11-27 Created: 2025-11-27 Last updated: 2025-12-10Bibliographically approved

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RiskClassificationService(403 kB)145 downloads
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File name FULLTEXT01.pdfFile size 403 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

Authority records

Mishchenko, Kateryna

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf