We invite submissions to the
"Responsible and Trusted AI: An Interdisciplinary Perspective" track
at AISoLA 2026 (Kos, Greece, October
27–31, 2026).
This track brings together researchers from philosophy, psychology, law, and computer science to examine the conceptual and normative foundations of trusted and responsible AI. We welcome work at the intersection of analytic philosophy, applied ethics, and
AI governance. Topics of interest include:
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Trust and trustworthiness in AI: conceptual analysis and critical appraisal
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The ethics and epistemology of human oversight: when is oversight meaningful, and what does it require?
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Normative assumptions embedded in AI system design and standards
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Moral responsibility and accountability for AI-caused harms
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Value alignment and the limits of formalizing normative desiderata
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AI "companions", deadbots, and AI in (pseudo-)therapeutic contexts
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Autonomy, paternalism, and reliance in human–AI interaction
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AI and academic integrity: ethical dimensions
Two ways to contribute:
→ On-site Proceedings (full paper) Submit a full paper of 12–15 pages. Accepted papers will be presented at the conference and published in the on-site proceedings.
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Titles & abstracts: May 25, 2026
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Full paper submission: June 01, 2026
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Notification: June 22 | Final versions: July 15
→ Presentation + Post-Proceedings (abstract first) Submit an abstract of max. 500 words. Accepted contributions will be presented at the conference. Normally, authors then submit — after the conference — either an extended
abstract (4–6 pages) or a full paper (12–15 pages) for the post-proceedings (due end of January).
We particularly encourage interdisciplinary authors and, especially, teams of authors from diverse fields to submit their work!
For any questions, please feel free to contact me at timo.speith[at]
uni-bayreuth.de
This track is co-organized by the Centre for European Research in Trusted Artificial Intelligence (CERTAIN).
Organizers: Kevin Baum (DFKI / TUHH), Thorsten Helfer (CISPA), Felix Jahn (DFKI), Sophie Kerstan (Freiburg), Andreas Sesing-Wagenpfeil (UdS), Timo Speith (UBT), Sarah Sterz (UdS)
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Dr. Timo Speith
Akademischer Rat a.Z.
Chair for Philosophy, Computer Science, and Artificial Intelligence
University of Bayreuth
95447 Bayreuth
Office: GW II, Room 1.16
Tel.: +49 (0)921 55-4161
timo....@uni-bayreuth.de