Call for Papers: RETRAI 2025

First requirements engineering workshop on Requirement Engineeringfor Trustworthy Artificial Intelligence, co-located with RE 2025 (1-5 September, 2025), Valencia, Spain.

https://www.cs.toronto.edu/~retrai/

Overview

RETRAI 2025 is the first Requirements Engineering (RE) workshop that specifically addresses the specification, debugging, and compliance of requirements for trustworthy AI-based systems. As the interaction between these systems and humans continues to grow, the importance of embedding trustworthiness considerations into the design and development process becomes increasingly important. The workshop aims to discuss the challenges associated with developing trustworthy AI systems and highlights the necessity of engaging the requirements engineering community in tackling these issues.Topics of interest

The topics of the workshop include, but are not restricted to:- Requirement elicitation for trustworthy AI systems- Managing evolving requirements: adapting to legislative changes or societal progress- Requirements for open capability AI-based systems (e.g., LLM-based ones)- Prioritization of requirements for trustworthy AI- Trade-offs in defining trustworthiness properties- Challenges and need in gathering requirements for trustworthy AI- Customizable, parameterizable, and universal ethical or empathetic requirements- Social, legal, and cultural requirements for trustworthy AI- Managing interactions between individual, group, and universal ethical requirements- Requirement engineering approaches for trustworthy AI systems- Teaching Trustworthy AI

Important Dates

- Abstract Submission Deadline: Mon 2 Jun 2025

-  Full Paper Submission Deadline: Mon 9 Jun 2025

- Notification of Acceptance: Mon 30 Jun 2025

- Camera-Ready Submission: Fri 14 Jul 2025

Paper submission guidelines

We accept papers in four categories:

1. Short papers (3-4 pages) that state the authors’ position within the scope of the workshop and may describe solution concepts in a preliminary state.

2. Full papers (6-10 pages) that address problems, needs, novel approaches, and frameworks relevant to the workshop. Evaluations of new approaches must be included in full papers. Empirical evaluation papers and industrial experience reports are also welcome submissions.

3. Case-study papers that present a specific AI-based system, along with the corresponding trustworthy requirements.

4. Extended abstracts that present teaching materials or tutorials on trustworthy AI.

Please visit our website for details on the submission format and the submission link: https://www.cs.toronto.edu/~retrai/

If you have any questions, please feel free to contact the RETRAI organizers:

- Lina Marsso, lina.marsso@polymtl.ca

- Isobel Standen, isobel.standen@york.ac.uk

- Walid Maalej, walid.maalej@uni-hamburg.de