Fundamental Limitation in Explaining AI 事件

Fundamental Limitation in Explaining AI arXiv:2605.24727v1 Announce Type: cross Abstract: While large-scale models such as LLMs and diffusion models have achieved practical success, public institutions have emphasized the importance of explainability in AI. Existing methods for explaining AI, however, are not designed to provide completely faithful explanations of the behavior of large-scale AI systems. Although a completely faithful and interpretable explanation of the behavior of an AI system