On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
Lena K\"astner, Markus Langer, Veronika Lazar, Astrid Schom\"acker,, Timo Speith, Sarah Sterz

TL;DR
This paper explores the complex relationship between explainability and trust in software systems, emphasizing the importance of engineering for trustworthiness rather than trust alone, with explainability enhancing trustworthiness.
Contribution
It argues for focusing on trustworthiness in system design, highlighting how explainability can contribute to trustworthiness rather than directly fostering trust.
Findings
Explainability does not necessarily increase trust.
Trustworthiness can be engineered independently of trust.
Explainability can enhance a system's trustworthiness.
Abstract
Recently, requirements for the explainability of software systems have gained prominence. One of the primary motivators for such requirements is that explainability is expected to facilitate stakeholders' trust in a system. Although this seems intuitively appealing, recent psychological studies indicate that explanations do not necessarily facilitate trust. Thus, explainability requirements might not be suitable for promoting trust. One way to accommodate this finding is, we suggest, to focus on trustworthiness instead of trust. While these two may come apart, we ideally want both: a trustworthy system and the stakeholder's trust. In this paper, we argue that even though trustworthiness does not automatically lead to trust, there are several reasons to engineer primarily for trustworthiness -- and that a system's explainability can crucially contribute to its trustworthiness.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
