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Toward Human-AI Interfaces to Support Explainability and Causability in Medical AI

Computer (2021) 54(10) 78-86
DOI: 10.1109/MC.2021.3092610
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Abstract

Our concept of causability is a measure of whether and to what extent humans can understand a given machine explanation. We motivate causability with a clinical case from cancer research. We argue for using causability in medical artificial intelligence (AI) to develop and evaluate future human-AI interfaces.

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Holzinger, A., & Müller, H. (2021). Toward Human-AI Interfaces to Support Explainability and Causability in Medical AI. Computer, 54(10), 78–86. https://doi.org/10.1109/MC.2021.3092610

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