Tailoring Requirements Engineering for Responsible AI

TL;DR

This paper emphasizes the importance of tailoring Requirements Engineering processes specifically for Responsible AI to address societal and ethical challenges, highlighting research and practical considerations.

Contribution

It advocates for adapting Requirements Engineering practices to better support the development of Responsible AI systems, filling a gap in current methodologies.

Findings

RE is crucial for responsible AI deployment in sensitive domains

Challenges exist in tailoring RE for societal and ethical considerations

The paper outlines research and practical challenges in this area

Abstract

Requirements Engineering (RE) is the discipline for identifying, analyzing, as well as ensuring the implementation and delivery of user, technical, and societal requirements. Recently reported issues concerning the acceptance of Artificial Intelligence (AI) solutions after deployment, e.g. in the medical, automotive, or scientific domains, stress the importance of RE for designing and delivering Responsible AI systems. In this paper, we argue that RE should not only be carefully conducted but also tailored for Responsible AI. We outline related challenges for research and practice.