Trust and reliance on AI — An experimental study on the extent and costs of overreliance on AI

Synopsis

Domain-independent, incentivized behavioral experiment showing that mere knowledge that advice is AI-generated causes people to follow it even when it contradicts contextual information and their own assessment, with consequences for third parties.

Keywords

·overreliance ·AI advice ·behavioral experiment ·trust calibration ·automation bias

Related entries

• Sometimes right, sometimes wrong: Drivers' responses to inconsistently accurate automated vehicle system confidence information
  January 20, 2026 · Accident Analysis & Prevention 2026
• In ChatGPT they trust: a study of students' perceptions and misuse of ChatGPT in higher education
  December 1, 2025 · AI and Ethics 2025
• Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making
  November 19, 2025 · International Journal of Medical Informatics 2026
• Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists
  April 4, 2025 · Journal of Medical Internet Research 2025
• Trust calibration through perceptual and predictive information of the external context in autonomous vehicle
  November 2024 · Transportation Research Part F: Traffic Psychology and Behaviour 2024
• Facilitating Trust Calibration in Artificial Intelligence-Driven Diagnostic Decision Support Systems for Determining Physicians' Diagnostic Accuracy: Quasi-Experimental Study
  November 27, 2024 · JMIR Formative Research 2024