Trust in Aligned AI Decision Makers

As artificial intelligence (AI) systems take on increasingly complex decision-making roles, aligning AI decision makers with human values becomes critical to fostering trust and enabling effective delegation. This study examines whether AI decision makers (ADMs) that are aligned with human attributes earn greater trust and delegation preference in high-stakes medical triage scenarios. Using a combination of attribute assessments, AI training, and human evaluations, we found that alignment significantly influences trust and delegation for most but not all attributes. These findings provide empirical evidence supporting the hypothesis that AI alignment enhances trust and delegation, offering insights into the future design of AI-assisted decision-making systems.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cai64502.2025.00202
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57

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article

Trust in Aligned AI Decision Makers

Ewart J. de Visser, Ashutosh Mani, Jensen Hyde, Nicholas Kman et al.
2 citations
Big Data and Business Intelligence
4.57
article

Trust in Aligned AI Decision Makers

Ewart J. de Visser, Ashutosh Mani, Jensen Hyde, Nicholas Kman, Jennifer McVay, Brian Pippin
article en
2 citations

Abstract

As artificial intelligence (AI) systems take on increasingly complex decision-making roles, aligning AI decision makers with human values becomes critical to fostering trust and enabling effective delegation. This study examines whether AI decision makers (ADMs) that are aligned with human attributes earn greater trust and delegation preference in high-stakes medical triage scenarios. Using a combination of attribute assessments, AI training, and human evaluations, we found that alignment significantly influences trust and delegation for most but not all attributes. These findings provide empirical evidence supporting the hypothesis that AI alignment enhances trust and delegation, offering insights into the future design of AI-assisted decision-making systems.

CACI International (United States) (US), Bear Valley (US), The Ohio State University (US)
Defense Advanced Research Projects Agency
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Big Data and Business Intelligence
4.57
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Trust in Aligned AI Decision Makers — Ewart J. de Visser, Ashutosh Mani, et al. · (2025) | TGRS Research Map | TGRS