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

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.