From Regulation to Interaction: Expert Views on Aligning Explainable AI with the EU AI Act

Mahdi Dhaini, Lukas Ondrus, Gjergji Kasneci


Abstract
Explainable AI (XAI) aims to support people who interact with high-stakes AI-driven decisions, and the EU AI Act mandates that users must be able to interpret system outputs appropriately. Although the Act requires users to interpret outputs and mandates human oversight, it offers no technical guidance for implementing explainability, leaving interpretability methods opaque to non-experts and compliance obligations unclear. To address these gaps, we interviewed eight experts to explore (1) how explainability is defined and perceived under the Act, (2) the practical and regulatory obstacles to XAI implementation, and (3) recommended solutions and future directions. Our findings reveal that experts view explainability as context- and audience-dependent, face challenges from regulatory vagueness and technical trade-offs, and advocate for domain-specific rules, hybrid methods, and user-centered explanations. These insights provide a basis for a potential framework to align XAI methods—particularly for AI and Natural Language Processing (NLP) systems—with regulatory requirements, and suggest actionable steps for policymakers and practitioners
Anthology ID:
2025.hcinlp-1.19
Volume:
Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Su Lin Blodgett, Amanda Cercas Curry, Sunipa Dev, Siyan Li, Michael Madaio, Jack Wang, Sherry Tongshuang Wu, Ziang Xiao, Diyi Yang
Venues:
HCINLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
230–239
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.hcinlp-1.19/
DOI:
Bibkey:
Cite (ACL):
Mahdi Dhaini, Lukas Ondrus, and Gjergji Kasneci. 2025. From Regulation to Interaction: Expert Views on Aligning Explainable AI with the EU AI Act. In Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP), pages 230–239, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
From Regulation to Interaction: Expert Views on Aligning Explainable AI with the EU AI Act (Dhaini et al., HCINLP 2025)
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PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.hcinlp-1.19.pdf