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 ...

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.

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 ...

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 ...

For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan — even ...

The biases that algorithms can develop are known and numerous: Many are optimized to maximize profits above all. Others are fed data that is unrepresentative of the real population or neglect ...

French President Emmanuel Macron commented on American social media and AI companies using "free speech" as a defense against European regulators during remarks at the All India Institute of Medical ...

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 ...

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 ...