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, ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

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 ...