It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Anything you’ve ever posted online—a cringey tweet, an ancient blog post, an enthusiastic restaurant review, or a blurry Instagram selfie—has almost assuredly been gobbled up and used as part of the ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...