Deep-learning algorithms suffer from a fundamental problem: They can adopt unwanted biases from the data on which they're trained. In healthcare, this can lead to bad diagnoses and care ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
Stanford found itself in hot water last week after deploying a faulty Covid-19 vaccine distribution algorithm. But the fiasco offers a cautionary tale that extends far beyond Stanford’s own doors — ...
Care for some of the sickest Americans is decided in part by algorithm. New research shows that software guiding care for tens of millions of people systematically privileges white patients over black ...
This story was originally published by STAT News on Dec. 21, 2020. You can find the original article here. Stanford found itself in hot water last week after deploying a faulty Covid-19 vaccine ...
A health care algorithm makes black patients substantially less likely than their white counterparts to receive important medical treatment. The major flaw affects millions of patients, and was just ...