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.

Add Yahoo as a preferred source to see more of our stories on Google. Facial recognition software misidentifies Black women more than other people. JLco - Ana Suanes/iStock via Getty Images In 1998, I ...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American Artificial intelligence and machine learning ...

Algorithms govern most aspects of our lives with secret, biased methods. A data scientist turned activist gives us tips to uncover these biases and demand accountability.

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 ...

A judge said nonwhite creators who sued YouTube "do not come close" to proving racially biased algorithms were responsible for their videos getting taken down. Reading time 2 minutes A US federal ...

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 ...

(THE CONVERSATION) In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today. Facial recognition ...