Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Progress in mechanistic interpretability could lead to major advances in making large AI models safe and bias-free. The Anthropic researchers, in other words, wanted to learn about the higher-order ...

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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 ...

Anthropic CEO Dario Amodei published an essay Thursday highlighting how little researchers understand about the inner workings of the world’s leading AI models. To address that, Amodei set an ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...

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 ...

Ask a chatbot if it’s conscious, and it will likely say no—unless it’s Anthropic’s Claude 4. “I find myself genuinely uncertain about this,” it replied in a recent conversation. “When I process ...