Based on feedback from the previous edition of this workshop, we intend to use a similar format of the workshop as to the 2023 edition, proposing sessions with the presentation of talks by invited speakers followed by discussion. We feel that the work in this area has matured and now, there are already some interesting experiences in projects and initiatives using RE for AI. Moreover, important implementation steps of the EU AI Act are planned in 2025, such as the prohibitions on certain AI systems in February 2025 [1].
Thus, having invited speakers share their experience in their projects seems like an appropriate way to move forward, giving us a chance to deepen our debate around the issues and opportunities in this area, as well as potential impacts of the EU AI Act on their projects.
[1] https://artificialintelligenceact.eu/implementation-timeline/
Workshop topics of interest include, but are not restricted to:
RE addressing Technical Robustness and Safety of AI-based solutions
RE facilitating Privacy and Data Governance for AI-based solutions
RE supporting Accountability of AI-based solutions
RE targeted at providing Transparency for AI-based solutions
RE supporting Fairness in Decision-Making within AI-based solutions
Experience with the Engineering of Complex AI Systems
RE for AI in Industrial and Governmental cases
RE for Machine Learning-based Systems
RE for Automated Decision-Making Systems
RE for Robotics
RE for Cyber Physical Systems
The interplay between RE and Ethics for AI
Quality Requirements for AI-based Systems
14:00 -14:25 - Content and Reasoning Requirements for Generative AI Applications in the Public domain, by Sjaak Brinkkemper
Abstract: When more and more operational ICT systems are being augmented with AI functionality, it becomes clear that the standard distinction between functional and quality requirements will not work anymore. In this presentation we will discuss the necessity of adding an distinct requirements category namely content and reasoning requirement in order to deal with the specific needs for including AI features in software products. We will show how content and reasoning requirements are being addressed in innovative AI applications in the public sector: healthcare, police, and municipal social welfare. We will demonstrate this with the generative AI platform of the spinoff Verticai (www.verticai.nl) of the Care2Report research program at Utrecht University.
14:25-14:50 - Enhanced Understanding of Legal Requirements: A Step toward Trustworthy AI, by Sallam Abualhaija
Abstract: As AI systems become increasingly integrated into our lives, emerging concepts such as trustworthy, responsible, and beneficial AI converge around a central objective: developing AI in ways that align with societal values, ethical principles, and legal obligations. Requirements Engineering (RE) plays a critical—yet often overlooked—role in bridging the gap between technical solutions and the broader socio-technical landscape. A key contribution of RE is its ability to surface, clarify, and formalize the legal and regulatory expectations that govern AI-enabled systems. As global regulatory frameworks rapidly evolve to keep pace with AI advancements, the ability to accurately interpret and operationalize legal requirements becomes essential. This talk explores how RE practices can be leveraged to enhance the understanding of legal requirements, thereby supporting regulatory compliance and enabling the development of AI systems we can trust. Understanding legal requirements is not just a compliance exercise—it is a foundational step toward building responsible and lawful AI.
14:50-15:15 - Shaping the future of RE: the Impact of AI in Requirements Engineering, by Simon Jimenez
Abstract: This talk presents practical insights from the IREB Special Interest Group on AI and our ongoing exploration of artificial intelligence in requirements engineering. The presentation covers our proposed classification of AI applications in RE - from current documentation assistance tools to emerging analytical capabilities. Drawing from the group's discussions and real-world examples, the talk examines both promising applications and problematic aspects of AI in requirements work. The focus remains on the evolving relationship between AI capabilities and human expertise, addressing how the requirements practitioner's role is likely to transform rather than disappear.
15h15-15:30 - Wrap-up Session 1
15:30-16:00 Coffee break
16:00-17:30 Session 4
16:00 -16:25 - Preview on a Reference Model for Comparing LLMs with Humans, by Kurt Schneider
16:25-16:50 - Engineer and evaluate AI’s impact: beyond the “good enough”, by Beatriz Cabrero-Daniel
16:50-17:15 - The Role of Requirements Engineering in Ensuring Quality in AI-Based Systems by Hina Saeeda
17h15-17:30 - Wrap-up Session 2
17:30-17:40 Go to closing
17:40-18:00 Workshop closing
Renata Guizzardi, University of Twente, The Netherlands
Anna Perini, FBK, Fondazione Bruno Kessler, Trento, Italy
Jennifer Horkoff, Chalmers and the University of Gothenburg