Call for Papers: RETRAI 2026

The second workshop on Requirement Engineering for Trustworthy Artificial Intelligence (RETRAI), co-located with RE 2026 (17-21 August, 2026), Montreal, Canada.

https://retrai-workshop.github.io/retrai-26/

Overview
RETRAI 2026 is the second annual workshop aimed at addressing 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. Researchers from disciplines such as philosophy, psychology, sociology, law, computer science, engineering, and related fields are encouraged to apply.

Topics of interest
The topics of the workshop include, but are not restricted to:
- Social, legal, and cultural requirements for trustworthy AI
- Managing evolving requirements: adapting to legislative changes or societal progress
- Requirement elicitation for trustworthy AI systems
- 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
- 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 11 May 2026
- Full Paper Submission Deadline: Mon 18 May 2026
- Notification of Acceptance: Mon 22 June 2026
- Camera-Ready Submission: Mon 29 June 2026


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 find the submission link: https://easychair.org/conferences/?conf=retrai26