Research2h ago
New Framework Defines Quality AI Explanations
A new paper on arXiv proposes a definition of good explanations based on counterfactuals and user beliefs. The authors argue that current LLM outputs resist this standard because they lack a stable internal logic. This framework forces researchers to prioritize the interlocutor's prior knowledge. It provides a stricter benchmark for evaluating model interpretability.