Individual Differences in Risk Perception of Artificial Intelligence
Abstract
Abstract. 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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