Trust in AI vs. Human Recommendations Among Users with AI Training: A Pilot Study

Artificial Intelligence (AI) is increasingly recognized as a tool to improve decision-making. While the majority of experimental studies used business students to provide insights into how managers trust systems, less is known about the trust of users trained in AI technologies. This pilot study aimed to examine to what extent users trained in AI technologies trust the recommendations of an AI system compared to those of a manager. The participants were undergraduate IS students who had received training in AI technologies. They rated their trust in recommendations for four different decision-making tasks in human resources management. Our preliminary results indicate that participants had higher trust in manager recommendations compared to AI recommendations for HR decision-making tasks and required less time, suggesting a small-size effects. This study contributes to the literature by examining the trust of individuals with specific training in AI technologies in AI-driven decision-making.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
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article

Trust in AI vs. Human Recommendations Among Users with AI Training: A Pilot Study

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

Trust in AI vs. Human Recommendations Among Users with AI Training: A Pilot Study

article en

Abstract

Artificial Intelligence (AI) is increasingly recognized as a tool to improve decision-making. While the majority of experimental studies used business students to provide insights into how managers trust systems, less is known about the trust of users trained in AI technologies. This pilot study aimed to examine to what extent users trained in AI technologies trust the recommendations of an AI system compared to those of a manager. The participants were undergraduate IS students who had received training in AI technologies. They rated their trust in recommendations for four different decision-making tasks in human resources management. Our preliminary results indicate that participants had higher trust in manager recommendations compared to AI recommendations for HR decision-making tasks and required less time, suggesting a small-size effects. This study contributes to the literature by examining the trust of individuals with specific training in AI technologies in AI-driven decision-making.

Journal of the Association for Information Systems
Peace, Justice and strong institutions
Openalex Percentile: Top 58%
Magnetic confinement fusion research
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