The Impact of Learning about AI Advancements on Trust

Milena Nikolova and Marco Angrisani
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Marco Angrisani: University of Southern California

No 17635, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Can people develop trust in Artificial Intelligence (AI) by learning about its developments? We conducted a survey experiment in a nationally representative panel survey in the United States (N = 1,491) to study whether exposure to news about AI influences trust differently than learning about non-AI scientific advancements. The results show that people trust AI advancements less than non-AI scientific developments, with significant variations across domains. The mistrust of AI is the smallest in medicine, a high-stakes domain, and largest in the area of personal relationships. The key mediators are context- specific: fear is the most critical mediator for linguistics, excitement for medicine, and societal benefit for dating. Personality traits do not affect trust differences in the linguistics domain. In medicine, mistrust of AI is higher among respondents with high agreeableness and neuroticism scores. In personal relationships, mistrust of AI is strongest among individuals with high openness, conscientiousness, and agreeableness. Furthermore, mistrust of AI advancements is higher among women than men, as well as among older, White, and US-born individuals. Our results have implications for tailored communication strategies about AI advancements in the Fourth Industrial Revolution.

Keywords: Randomized Controlled Trial (RCT); survey experiment; Artificial Intelligence (AI); trust; United States (search for similar items in EconPapers)
JEL-codes: C91 D83 O33 Z10 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2025-01
New Economics Papers: this item is included in nep-ain, nep-exp and nep-soc
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Working Paper: The Impact of Learning about AI Advancements on Trust (2025)
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