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 ...

Machine learning and artificial intelligence have taken organizations to new heights of innovation, growth, and profits thanks to their ability to analyze data efficiently and with extreme accuracy.

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 ...

Google responded to a small publisher whose article offered a step by step walkthrough of how big corporate publishers are manipulating the Google Reviews System Algorithm and getting away with it, ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Artificial intelligence (AI) is used to make life-altering decisions every day, from who gets a job and receives access to a loan to early disease detection and diagnosis. “Technology, and the people ...

Algorithmic bias is everywhere. Our work with dozens of organizations—healthcare providers, insurers, technology companies, and regulators—has taught us that biased algorithms are deployed throughout ...

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 ...