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Automation Bias in AI-Decision Support: Results from an Empirical Study
19
Zitationen
10
Autoren
2024
Jahr
Abstract
Considering factors influencing automation bias when introducing a CDSS is critical to fully leverage the benefits of such a system. This study highlights that non-specialists, who stand to gain the most from CDSS, are also the most susceptible to automation bias, emphasizing the need for specialized training to mitigate this risk and ensure diagnostic accuracy and patient safety.
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