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Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals - npj Digital Medicine

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Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals - npj Digital Medicine

Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing the implementation challenges of AI/ML in healthcare. However, little is known about how developers and clinicians interpret XAI and what conflicting goals and requirements they may have. This paper presents the findings of a longitudinal multi-method study involving 112 developers and clinicians co-designing an XAI solution for a clinical decision support system.

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Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals - npj Digital Medicine

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Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals - npj Digital Medicine

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