人工智能风险感知的个体差异

IF 0.8 Q3 Psychology
B. G. Wissing, Marc-André Reinhard
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引用次数: 6

摘要

这项横断面研究(N = 325)调查了黑暗三合一人格特征与人工智能(AI)风险感知之间的关系。狭义的人工智能风险感知是根据最近确定的公众感知风险来衡量的。人工通用智能(AGI)风险感知是根据Bostrom(2014)开发的欺骗性人工智能场景的合理性评级和主观概率估计来运作的,其中人工智能方面的欺骗被描述为智能的功能。马基雅维利主义和精神病预测了狭隘的人工智能风险感知,高于黑暗三人格和五大人格的共同方差。在自我报告有机器学习知识的个体中,黑暗三位一体特征与AGI风险感知有关。本研究为人工智能风险感知存在显著的个体差异提供了证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Individual Differences in Risk Perception of Artificial Intelligence
This cross-sectional study (N = 325) investigated the relationship between the Dark Triad personality traits and the perception of artificial intelligence (AI) risk. Narrow AI risk perception was measured based on recently identified perceived risks in the public. Artificial general intelligence (AGI) risk perception was operationalized in terms of plausibility ratings and subjective probability estimates on deceptive AI scenarios developed by Bostrom (2014), in which AI-sided deception is described as a function of intelligence. Machiavellianism and psychopathy predicted narrow AI risk perception above the shared variance of the Dark Triad and above the Big Five. In individuals with self-reported knowledge of machine learning, the Dark Triad traits were associated with AGI risk perception. This study provides evidence for the existence of substantial individual differences in the risk perception of AI.
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来源期刊
Swiss Journal of Psychology
Swiss Journal of Psychology PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
1.50
自引率
0.00%
发文量
0
期刊介绍: General, Clinical, Social, Organizational, Developmental, Personality, and Biological Psychology.
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