EUCA: the End-User-Centered Explainable AI Framework

Understand

The ability to explain decisions to end-users is a necessity to deploy AI as critical decision support.

• Yet making AI explainable to non-technical end-users is a relatively ignored and challenging problem.
• To bridge the gap, we first identify twelve end-user-friendly explanatory forms that do not require technical knowledge to comprehend, including feature-, example-, and rule-based explanations.
• We then instantiate the explanatory forms as prototyping cards in four AI-assisted critical decision-making tasks, and conduct a user study to co-design low-fidelity prototypes with 32 layperson participants.