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

Looking at 4 million applications to 1,700 positions across 150 companies, researchers found that — in many cases — an AI ...

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.

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 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 ...

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

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 ...

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 ...

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 ...

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 ...