Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Several years ago, teams of scholars published groundbreaking research that pointed to racial biases in algorithms that helped direct patient care at major health systems in the U.S. Those algorithms, ...

Lawmakers and advocates decried the lack of oversight of “abuses” associated with biased AI tools. As the AI industry ...

AI success doesn’t come from picking the newest model, but from having three foundational priorities: trusted AI-ready data, secure identities and platform modernization.

Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...

Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...

If you’re in recruiting, you know that AI is thrown around a lot. AI in recruiting is no longer a concept to keep an eye on for the future. It’s here, reshaping how businesses find talent and build ...

Preparing cancer patients for difficult decisions is an oncologist’s job. They don’t always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...

Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...

Artificial intelligence systems require consistent monitoring, experts say. This is a KFF Health News story. Preparing cancer patients for difficult decisions is an oncologist's job. They don't always ...