I Can’t Take This Anymore! Understanding the Relationship Between Personality Traits and Tolerance of Generative AI Hallucinations

IF 5.2 3区管理学 Q1 BUSINESS

IEEE Transactions on Engineering Management Pub Date : 2025-09-04 DOI:10.1109/TEM.2025.3606352

Arjun Kadian;Mohammad I. Merhi;Manjul Gupta;Arman Ghafoori;Denis Dennehy

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引用次数: 0

Abstract

The use of generative artificial intelligence (AI) has increased drastically in recent years, offering transformative potential in creativity, productivity, and decision-making across various domains. However, concerns are growing among practitioners and academics about its tendency to produce inaccurate or nonsensical outputs—a phenomenon known as generative AI hallucinations. While scholars have begun exploring this phenomenon, most of the existing research focuses on technical issues and solutions. This research takes a behavioral approach to examine the association between individual personality traits and tolerance of generative AI hallucinations. Drawing on error management theory and the big five personality traits, we examine how individuals with different personality traits tolerate generative AI hallucinations. The study contributes to calls from management journals to investigate the challenges associated with generative AI use. Our findings provide important theoretical implications and offer actionable insights for engineering managers seeking to implement generative AI.

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我再也受不了了！理解人格特征与生成AI幻觉容忍度之间的关系

近年来，生成式人工智能（AI）的使用急剧增加，在各个领域的创造力、生产力和决策方面提供了革命性的潜力。然而，越来越多的从业者和学者担心它会产生不准确或无意义的输出，这种现象被称为生成式人工智能幻觉。虽然学者们已经开始探索这一现象，但现有的研究大多集中在技术问题和解决方案上。本研究采用行为方法来研究个体人格特征与对生成型人工智能幻觉的容忍度之间的关系。利用错误管理理论和五大人格特征，我们研究了不同人格特征的个体如何容忍生成型人工智能幻觉。该研究有助于管理期刊调查与生成式人工智能使用相关的挑战。我们的研究结果提供了重要的理论意义，并为寻求实施生成人工智能的工程经理提供了可操作的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Engineering Management 管理科学-工程：工业

CiteScore

10.30

自引率

19.00%

发文量

604

审稿时长

5.3 months

期刊介绍： Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.