As AI systems increasingly permeate diverse sectors and influence many aspects of our lives, ensuring their responsible, trustworthy, and safe development and deployment is more critical than ever. Addressing these challenges requires moving beyond purely technical considerations to grapple with complex societal, ethical, and governance questions. Building on the success of similar tracks at AISoLA 2023 and 2024, this track seeks to foster interdisciplinary dialogue by bringing together researchers from a broad range of fields.
We invite contributions from philosophy, law, psychology, economics, sociology, political science, informatics, and other relevant disciplines. This track offers a platform to share recent research and collaboratively explore the societal implications of designing, implementing, and regulating AI systems.
Topics of interest include, but are not limited to:
- Clarifying key concepts (“trustworthy AI,” “trusted AI,” “responsible AI” etc.)
- Balancing benefits and risks
- Ethical design
- Addressing public concerns
- Legal implications (including questions of compliance and accountability)
- Regulatory frameworks (e.g. challenges of complying with the upcoming EU AI Act)
- Labor market impact
- AI for social good (leveraging AI for societal benefit)
- Responsibility and accountability
- Human oversight
- Legal liability (civil liability and other legal responsibilities in cases of malfunctioning AI systems)
- Ownership and authorship
- Copyright and revenue sharing.
- AI in education
- Bias and fairness (identifying, addressing, and mitigating bias, discrimination, and algorithmic unfairness in AI systems)
- Transparency and explainability
- Holistic model assessment (evaluating AI models within broader decision-making contexts, focusing on acceptability, trustworthiness, and user trust)
- Normative choices in AI design
This track is part of the AISoLA conference, which serves as an open forum for discussing recent advancements in machine learning and their far-reaching implications.
Conference date: Nov. 1-5, 2025
Conference venue: Alila Resort & Spa, Rhodes, Greece.
There will be a conference fee. For information check the conference website. Depending on funding, we plan to waive the fee for some speakers – please contact us if you are interested in this option.
For any questions, please feel free to contact Eva Schmidt at eva.schmidt@tu-dortmund.de.
If you would like to contribute to the conference proceedings, we invite you to submit a paper. Submissions can be either full papers (12–15 pages) or short papers (6–11 pages). Deadline: April 30, 2025 (Watch out for extensions!)
For those interested in contributing to the post-proceedings, we welcome the submission of a 500-word abstract. (Deadline tba, May at the earliest.)
We particularly encourage interdisciplinary authors and, especially, teams of authors from diverse fields to submit their work!
Submission:
https://equinocs.springernature.com/service/rtai25
Organizers: Kevin Baum (German Research Center for Artificial Intelligence, DE), Thorsten Helfer (CISPA Helmholtz Center for Information Security, DE), Sophie Kerstan (University of Freiburg, DE), Markus Langer (University of Freiburg, DE), Eva Schmidt (TU Dortmund, DE), Timo Speith (University of Bayreuth, DE), Andreas Sesing-Wagenpfeil (Saarland University, DE)
This track is co-organized by the Centre for European Research in Trusted Artificial Intelligence (CERTAIN) and the Lamarr Institute for Machine Learning and Artificial Intelligence.