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

Artificial Intelligence (AI) is undeniably reshaping industries. As generative AI models demonstrate increasingly impressive capabilities at a breakneck pace, their transformative potential is clear.

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately ...

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 ...

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 ...

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 ...

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 ...