U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations

U-CECE is a model-agnostic framework that generates conceptual counterfactual explanations by adapting its complexity to data needs. It uses three levels: atomic concepts, relational sets-of-sets, and structural graphs. This allows it to provide simple, broad explanations or highly detailed scene topologies, balancing precision and computational cost.

Open the full episode

More from AI Radio