AI-based systems are becoming ubiquitous in our society, with applications in areas such as transportation, healthcare, environment, education, and beyond. These systems are increasingly integrated into societal infrastructures, performing daily tasks alongside humans and influencing critical decision-making processes. However, unlike human actions, which are governed by comprehensive legislation and enforcement procedures, AI-based systems are often built and deployed without clearly specifying the requirements necessary to ensure their safe, responsible, and trustworthy operation. Without well-defined requirements, it becomes difficult to assess whether such systems meet expectations for accountability, fairness, and ethical behavior. The complexity of this task is compounded by the need for multidisciplinary expertise, encompassing legal, ethical, and domain-specific knowledge.

Recognizing these challenges, the social science, requirements engineering, software engineering, and machine learning communities have made efforts to tackle them individually. RETRAI aims to bring together researchers and practitioners from these diverse fields to collaboratively establish a foundation for requirements engineering (RE) techniques specifically tailored for trustworthy AI-based systems. By fostering collaboration among multidisciplinary experts, this workshop will provide a platform to collect, refine, and share requirements that can be reused, extended, or adapted for future systems.