Machine learning

Expert Voices

How bias creeps into health care AI

A man's face geometrically segmented with some portions highlighted
Illustration: Sarah Grillo/Axios

Many health-related AI technologies today are biased because they're built on datasets largely comprised of men and individuals of European descent.

Why it matters: An AI system trained to identify diseases, conditions and symptoms in people in these datasets could fail when presented with data from people with different characteristics.

Rebooting high school

Illustration: Rebecca Zisser/Axios

In high schools across the U.S., a quiet movement is underway to better prepare students for a hazy new future of work in which graduates will vie for fast-changing jobs being transformed by increasingly capable machines.

Details: Breaking with traditional schooling, these new models emphasize capabilities over knowledge — with extra weight on interpersonal skills that appear likely to become ever more valuable.