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 ...

One of the largest studies on AI hiring algorithms found substantial evidence of bias and an adverse impact on specific ...

A Stanford-led study of 4 million job applications reveals AI tools used by Fortune 100 companies systematically reject Black ...

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.

AI algorithms exhibit racial bias in job candidate screening, and they discriminate more frequently against those applying ...

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 ...

California Attorney General Rob Bonta is investigating hospitals' software algorithms to help identify potential racial biases in the systems. Listen to Health Affairs' Jessica Bylander and Rob Lott ...

Across the country, algorithms are shaping decisions about who gets hired, who advances, and who is filtered out, often before a hiring manager ever takes a closer look. What began as an efficiency ...

Artificial intelligence (AI) algorithms have become integral to our modern lives, influencing everything from online ads to recommendations on streaming platforms. While they may not be inherently ...

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 ...