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 ...

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant ...

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.

Add Yahoo as a preferred source to see more of our stories on Google. AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve ...

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 ...

Bias can create risks in AI systems used for cloud security. There are steps humans can take to mitigate this hidden threat, but first, it's helpful to understand what types of bias exist and where ...

Looking at 4 million applications to 1,700 positions across 150 companies, researchers found that — in many cases — an AI tool was less likely to advance Black and Asian applicants.

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.

Irina Raicu is the director of the Internet Ethics program (@IEthics) at the Markkula Center for Applied Ethics. Views are her own. The following is a lightly edited version of comments made as part ...

New research by Questrom’s Carey Morewedge 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 ...