Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

New research shows that people recognize more of their biases in algorithms' decisions than they do in their own -- even when those decisions are the same. Algorithms were supposed to make our lives ...

In recent years, employers have tried a variety of technological fixes to combat algorithm bias — the tendency of hiring and recruiting algorithms to screen out job applicants by race or gender. They ...

Algorithms are becoming more entrenched in our lives, a consequence of the growing stores of data and the push to make greater use of them. While that’s happening everywhere, in health care, the ...

Despite some progress, gender discrimination in hiring remains a challenge. Women are judged more harshly than men, with a broad assumption of less competence. Only 15 percent of CEOs at Fortune 500 ...

The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...

Algorithms were supposed to make our lives easier and fairer: help us find the best job applicants, help judges impartially assess the risks of bail and bond decisions, and ensure that health care is ...