ADAPT Centre response to the European Commission Consultation on the draft guidelines for the classification of high-risk AI systems
The ADAPT Center welcomes the opportunity to respond to the European Commission’s request for comments on the draft guidelines on the classification of high-risk AI systems opened on 19 May 2026. ADAPT is a world-leading Research Ireland Centre for AI-Driven Digital Content Technology. It brings leading academics, researchers and industry partners together to deliver excellent science, engage the public, develop novel solutions for business across all sectors and enhance Ireland’s international reputation. Coordinated by Trinity College Dublin and co-hosted by Dublin City University, ADAPT’s partner institutions include University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Technological University of the Shannon: Midlands Midwest, and the University of Galway. ADAPT praises the European Commission for providing extensive guidance on the use cases of the Annex III and the implementation on article 112 of the AIA following the release of the report on the review of the prohibitions and high-risk AI published on 26 May 2026. We respectfully provide the following recommendations to strengthen the work of upholding fundamental rights within the implementation of the EU Digital Strategy.
Authors
- David Lewis (ORCID: https://orcid.org/0000-0002-3503-4644)
- Monique Munarini (ORCID: https://orcid.org/0009-0003-3966-623X)
- Maria Paula Arellano Velastegui (ORCID: https://orcid.org/0009-0009-4105-448X)
- Brenda Joseline Valdez Rojas (ORCID: https://orcid.org/0009-0002-8134-6611)
- Mrishana Rajanah (ORCID: https://orcid.org/0009-0007-6877-6576)
- Orlando Cabas (ORCID: https://orcid.org/0009-0007-6749-3371)
- Jessica Madeleine Egoavil Arbañil (ORCID: https://orcid.org/0009-0001-7415-9204)
Institutions
- Trinity College Dublin (IE)
- Dublin City University (IE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-28
- DOI
- https://doi.org/10.5281/zenodo.21650367
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00