Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made - Sorbonne Université
Conference Papers Year : 2024

Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made

Abstract

Trust between humans and AI in the context of decisionmaking has acquired an important role in public policy, research and industry. In this context, Human-AI Trust has often been tackled from the lens of cognitive science and psychology, but lacks insights from the stakeholders involved. In this paper, we conducted semi-structured interviews with 7 AI practitioners and 7 decision subjects from various decision domains. We found that 1) interviewees identified the prerequisites for the existence of trust and distinguish trust from trustworthiness, reliance, and compliance; 2) trust in AI-integrated systems is strongly influenced by other human actors, more than the system's features; 3) the role of Human-AI trust factors is stakeholder-dependent. These results provide clues for the design of Human-AI interactions in which trust plays a major role, as well as outline new research directions in Human-AI Trust.
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Dates and versions

hal-04768643 , version 1 (06-11-2024)

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Oleksandra Vereschak, Fatemeh Alizadeh, Gilles Bailly, Baptiste Caramiaux. Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made. CHI '24: CHI Conference on Human Factors in Computing Systems, May 2024, Honolulu HI USA, United States. pp.1-14, ⟨10.1145/3613904.3642018⟩. ⟨hal-04768643⟩
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