But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...

当AI开始‘自白’：可解释性不是补丁，而是文明的入场券 每天有数亿人向聊天机器人倾诉心事、请教知识、甚至托付决策——而我们却对这些‘数字知己’的内心世界一无所知。这听起来像科幻片？不，这是2026年科技界最严肃的日常。 《麻省理工科技评论》将‘机制可解释性’（Mechanistic ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding. However, there have been limitations for the world of scientific ...

Goodfire AI, a public benefit corporation and research lab that’s trying to demystify the world of generative artificial intelligence, said today it has closed on $7 million in seed funding to help it ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

We present PEER (probabilistic estimation of expression residuals), a software package implementing statistical models that improve the sensitivity and interpretability of genetic associations in ...

Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh ...

To many AI practitioners and consumers, explainability is a precondition of AI use. A model that, without showing its work, tells a doctor what medicine to prescribe may be mistrusted. No experienced ...