I have been designing and using these algorithms for the last 20 years, starting with the software used to generate the sorting hat in “Harry Potter and the Sorcerer’s Stone,” up through ...

Medical algorithms routinely make decisions about patients’ health care, yet they are rife with bias. Health equity must be built into the development and deployment of these health algorithms.

Despite this outcry, the group that developed the flawed algorithm still creates tools used in health care settings in nearly half of U.S. states as well as internationally. One recent study found ...

The company’s algorithm did not identify two-thirds of the roughly 2,500 sepsis cases in the Michigan data. It would have alerted for 183 patients who developed sepsis but had not been given ...

There are a lot of ways that AI can go awry in health and medicine. A team of researchers is calling for AI research to use more detailed performance metrics to root out bias and improve accuracy.