Explainable Recommendations and Calibrated Trust: Two Systematic User Errors
Mohammad Naiseh, Deniz Cemiloglu, Dena Al‐Thani, Nan Jiang, Raian Ali
Abstract
The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.
Topics & Concepts
Computer scienceCalibrationKnowledge managementDecision support systemData scienceHuman–computer interactionArtificial intelligenceMathematicsStatisticsExplainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI