Research3h ago
New Framework Defines Good AI Explanations
A new paper on arXiv proposes a definition of AI explainability based on counterfactuals and user prior beliefs. The authors argue that LLM outputs are uniquely difficult to explain under this rigorous standard. This framework forces researchers to move beyond surface-level transparency. It provides a concrete philosophical baseline for evaluating model interpretability.