Transparency and explainability are only way organizations can trust autonomous AI.
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...
Is claude a crook? The AI company Anthropic has made a rigorous effort to build a large language model with positive human values. The $183 billion company’s flagship product is Claude, and much of ...
Demis Hassabis is not a chemist, yet he was one of three recipients of the 2024 Nobel Prize in Chemistry. The prize recognized major contributions to the study of protein structures. Hassabis, a ...
Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...
ORONO, Maine — From interpreting a medical scan to sorting family photos, artificial intelligence (AI) makes snap judgments that users often trust blindly. Chaofan Chen, assistant professor of ...
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