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The Impact of Learning about AI Advancements on Trust

Author

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  • Nikolova, Milena
  • Angrisani, Marco

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 contextspecific: 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.

Suggested Citation

  • Nikolova, Milena & Angrisani, Marco, 2025. "The Impact of Learning about AI Advancements on Trust," GLO Discussion Paper Series 1556, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1556
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    References listed on IDEAS

    as
    1. Yann Algan & Pierre Cahuc, 2010. "Inherited Trust and Growth," American Economic Review, American Economic Association, vol. 100(5), pages 2060-2092, December.
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    3. Akçomak, I. Semih & ter Weel, Bas, 2009. "Social capital, innovation and growth: Evidence from Europe," European Economic Review, Elsevier, vol. 53(5), pages 544-567, July.
    4. repec:spo:wpmain:info:hdl:2441/432sbils8u9t7qa99cii5psht1 is not listed on IDEAS
    5. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Randomized Controlled Trial (RCT); survey experiment; Artificial Intelligence (AI); Trust; United States;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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