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On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness

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arxiv 2108.05379 v2 pith:THEMODC7 submitted 2021-08-11 cs.SE cs.CY

On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness

classification cs.SE cs.CY
keywords trustexplainabilitytrustworthinessrequirementssystemengineerfacilitateaccommodate
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Bridging the Disciplinary Gap in Explainable AI: From Abstract Desiderata to Concrete Tasks

    cs.CY 2026-05 unverdicted novelty 6.0

    The authors introduce a taxonomy with target, functional role, and mode of justification axes plus a framework that decomposes abstract XAI desiderata into concrete benchmarkable tasks via identified dependency structures.