The gender gap in generative AI isn’t just about who uses the tools—it’s also about who builds them. AI developers make crucial decisions—designing models, selecting training data, determining data ...

As artificial intelligence continues to reshape financial markets, it brings with it a core legal and strategic dilemma: who owns the algorithm? A recent Bank of England report raised alarm bells over ...

True transformation does not happen when AI replaces expertise. It happens when AI amplifies it.

Cardiovascular diseases are significant contributors to both global morbidity and mortality, highlighting the pressing need for enhanced risk assessment ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Two studies led by Johns Hopkins Kimmel Cancer Center, Ludwig Center, and Johns Hopkins Whiting School of Engineering researchers report on a powerful new method that significantly improves the ...

Nurses clinical AI governance gap documented by a STAT News investigation and Nurse.org tracking data: only 6 of 26 hospital ...

Drug development isn't limited by the amount of data we collect, but by our ability to preserve the context, meaning and relationships that transform data into evidence.

The Swiss film fest's industry strand director, Markus Duffner, explains the timeliness of "power, people, data," the return of the Locarno Investment Community, and why Uruguay gets the spotlight ...