Transparency and explainability are only way organizations can trust autonomous AI.
In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...
AI black box models lack transparency, making investment decisions unclear. White box models are slower but clarify their decision-making processes. Investors should verify AI outputs to align with ...
AI is transforming the way we work and reshaping the future of banking. While the sector is heavily regulated, AI introduces new challenges—particularly around transparency in decision-making, ...
In an era where anyone can spin up an LLM, the real differentiator isn’t the AI technology itself, but the institutional knowledge it’s grounded in. Internal and partner consultants leading ...
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 ...
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 ...
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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 ...
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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