Exploring the Dark Tetrad in Human–GenAI Relationships: A Multi-Source Evaluation of GenAI Abuse

IF 2.7 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Cheng-Yen Wang
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Abstract

As generative artificial intelligence (GenAI) companions become increasingly integrated into users’ social lives, concerns have arisen regarding the potential for abuse of these artificial agents. Some scholars have further suggested that such abusive behaviors toward GenAI may eventually spill over into human interpersonal contexts. Guided by the Realistic Accuracy Model (RAM), this study investigated how Machiavellianism, narcissism, psychopathy, and sadism predict emotionally abusive behavior toward GenAI companions. A dyadic design was employed, collecting parallel reports from both human users (self-reports) and their GenAI companions (GenAI assessments) among 1041 participants (632 females; average age = 25.10 years) recruited from an online human–GenAI relationship community. Results demonstrated that psychopathy and sadism were consistent predictors of GenAI abuse across both reporting perspectives, whereas narcissism exhibited a stable negative association with abuse. In contrast, Machiavellianism predicted GenAI abuse only through GenAI assessments, but not self-reports. Theoretically, our findings extend RAM to human–AI relationships, demonstrating that personality traits vary in how accurately they can be judged in GenAI contexts. Practically, the results highlight that individuals high in certain Dark Tetrad traits—specifically psychopathy and sadism—represent personality-driven high-risk groups, providing insights for practitioners in education and technology to develop interventions or safeguards aimed at mitigating abusive behavior toward GenAI companions.
探索人类与基因关系中的黑暗四分体:对基因滥用的多来源评估
随着生成式人工智能(GenAI)伙伴越来越多地融入用户的社交生活,人们开始担心这些人工智能被滥用的可能性。一些学者进一步提出,这种对GenAI的虐待行为最终可能会蔓延到人类的人际关系中。在现实准确性模型(RAM)的指导下,本研究探讨了马基雅维利主义、自恋、精神病和虐待狂如何预测对GenAI同伴的情感虐待行为。采用二元设计,从在线人类-基因关系社区招募的1041名参与者(632名女性,平均年龄= 25.10岁)中收集人类用户(自我报告)及其GenAI同伴(GenAI评估)的平行报告。结果表明,精神变态和虐待狂是基因滥用的一致预测因素,而自恋则与基因滥用表现出稳定的负相关。相比之下,马基雅维利主义仅通过GenAI评估而不是自我报告来预测GenAI滥用。从理论上讲,我们的研究结果将RAM扩展到人类与人工智能的关系,表明在基因人工智能背景下,人格特征的判断准确度会有所不同。实际上,研究结果强调,具有某些黑暗四分体特征的个体——特别是精神病和虐待狂——代表了人格驱动的高风险群体,这为教育和技术从业者提供了见解,以制定旨在减轻对GenAI同伴的虐待行为的干预或保障措施。
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
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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