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AI dependency increases trust in incorrect health information, study finds

A study involving two experiments with college students and Amazon Mechanical Turk participants found that learned dependency on generative AI for health information increases trust, even when the information is incorrect. Participants who were more dependent on AI were more likely to trust inaccurate outputs. The research concluded that while accuracy boosts trust, overreliance on AI can lead to poor judgment, and simple text highlighting is not enough to mitigate this issue, suggesting a need for better interface designs to encourage critical evaluation. AI

IMPACT Overreliance on AI for health information can lead to trusting incorrect outputs, highlighting the need for better interface designs to promote critical evaluation.

RANK_REASON Academic paper detailing experimental findings on AI trust and dependency. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI dependency increases trust in incorrect health information, study finds

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Academic paper detailing experimental findings on AI trust and dependency. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Arif Ahmed, Gondy Leroy, Agrim Sachdeva, Philip Harber, Stephen A. Rains, Seokjun Youn, Prosanta Barai ·

    Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Investigation

    arXiv:2606.20605v2 Announce Type: replace-cross Abstract: Background: Generative artificial intelligence (GenAI) is increasingly used for health information, yet its influence on users' trust calibration remains unclear. Objective: This study examines whether learned dependency o…