CLEAR-AI Workshop · ECAI 2025 · Bologna, Italy
Workshop Schedule
Morning Session
Afternoon Session
Accepted Papers
About the Workshop
As AI systems become integral to critical decision-making processes, ensuring their transparency, fairness, and accountability is more essential than ever. The AI Act, the world's first attempt to systematically regulate artificial intelligence, places significant emphasis on this need. In particular, the Act establishes transparency as a fundamental principle, aiming to safeguard user rights and foster trust and reliability in new technologies.
Achieving these objectives necessitates not only the establishment of robust technical frameworks but also the active engagement of a diverse range of stakeholders to ensure that the development of AI is aligned with societal values. The CLEAR-AI Workshop addresses the critical need for interdisciplinary collaboration to advance methods, tools, and evaluation frameworks that ensure transparency, fairness, and trustworthiness in AI systems.
The CLEAR-AI Workshop aligns with ECAI 2025's mission of advancing sustainable AI by promoting transparency, participatory approaches, and rigorous methods that ensure accountability and societal alignment.
Workshop Challenges
Transparency is too often treated as something systems have rather than something they provide in relation to those who use, audit, or are affected by them. This theme challenges us to rethink transparency as an active relation between information and its audience.
Technical tools and conceptual models for transparency abound, but they often operate without a clear sense of for whom and for what they exist. This theme explores how metrics, explanations, and frameworks can be oriented toward concrete purposes—whether legal accountability, informed oversight, or effective user understanding.
The ultimate challenge remains to make transparency usable, relevant, and responsive. This theme looks at how today's methods can evolve—through participatory, methodological, or institutional innovation—toward transparency that genuinely empowers those who depend on it.
Topics of Interest
Special Section OPEN
Following the workshop, a special section in the ACM Journal on Responsible Computing (JRC) dedicated to transparency in AI systems is currently open for submissions. See the full call for papers (PDF).
Contact: Francien Dechesne — f.dechesne@law.leidenuniv.nl
Important Dates (Submissions)
Organising Committee
Advisory Board
Program Committee
Contact
Questions regarding the workshop: Themis Dimitra Xanthopoulou, Umeå University, Sweden — themis.xanthopoulou@umu.se