Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis

Understand

The adoption of intelligent systems creates opportunities as well as challenges for medical work.

• On the positive side, intelligent systems have the potential to compute complex data from patients and generate automated diagnosis recommendations for doctors.
• However, medical professionals often perceive such systems as black boxes and, therefore, feel concerned about relying on system generated results to make decisions.
• In this paper, we contribute to the ongoing discussion of explainable artificial intelligence (XAI) by exploring the concept of explanation from a human-centered perspective.