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.

PhD student and technologist Colin Madland recently called out the video-conferencing app, Zoom, on Twitter. Madland claimed Zoom has a “crappy face-detection algorithm” that “erases black faces” when ...

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 ...

Artificial intelligence (AI) has the promise to revolutionize healthcare with machine learning (ML) techniques to predict patient outcomes and personalize patient care, but use of AI carries legal ...

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 ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

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 ...

A highly qualified jobseeker applies for a role you’re desperate to fill. Their application is screened out by an automated system. You’ve lost the perfect candidate and you don’t even know ...

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 ...

“Can an algorithm tell when children are in danger?” asks a headline in the March 12 edition of The Morning Call. The answer is no. Predictive analytics, the latest fad in child welfare, doesn’t ...

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 ...