Transparency and explainability are only way organizations can trust autonomous AI.

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 ...

Leading expert JM García-Maceiras launches a guide for global financial institutions to bridge the gap between algorithmic complexity and human oversight. This model ensures that the explanation ...

In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...

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 ...

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 ...

Microsoft’s artificial intelligence (AI) “Bing” sparked controversy during its early development by responding to probing questions with statements like “I want to develop a lethal virus or steal ...

Today we continue the insideAI News Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s ...

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 ...