From Features to Actions: Explainability in Traditional and Agentic AI Systems 事件

From Features to Actions: Explainability in Traditional and Agentic AI Systems arXiv:2602.06841v4 Announce Type: replace Abstract: Over the last decade, Explainable AI has primarily focused on interpreting individual model predictions, producing post-hoc explanations that relate inputs to outputs under a fixed decision structure. Recent advances in large language models (LLMs) have enabled agentic AI systems whose behaviour unfolds over multi-step trajectories. In these settings, success and fa