Samantha Maltin, a former marketing executive at Sesame Workshop, will now lead branding and public outreach initiatives at St. Jude Children's Research Hospital. 

With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.

There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you. 

Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.

For whatever reason, the grownups seem to get all the attention when talk turns to AI in healthcare. All the kiddos get to do is look on and listen in. Now comes a worthy little effort to balance the seesaw.

It’s going to take a multinational effort for the global AI community—such as it is—to avoid the emergence of a “fragmented AI landscape.” 

The U.S. Food and Drug Administration has its hands full making sure medical AI products are safe, efficacious and trustworthy before they hit the market. The rise of ever-more-innovative iterations of the technology—not least generative AI—is only adding to the burden. 

The settlement also includes an agreement for operational changes at all of the insurer's 33 independent partners.