Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

The organisations seeing real value from AI aren’t skipping steps, they’re getting the fundamentals right first.

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

The U.S. Army announced the creation of a data operations center at Aberdeen Proving Ground in an effort to centralize ...

An overview of ISO 25500 and the importance of compliance with this standard to support AI adoption in supply chain ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...