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 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 ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

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 ...

YouTube has two billion active monthly users and uploads 500 hours of content every minute. Twenty five percent of U.S. adults get their news from YouTube, and 60% of regular users “use the platform ...

Carey K. Morewedge does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Doctors, data scientists and hospital executives believe artificial intelligence may help solve what until now have been intractable problems. AI is already showing promise to help clinicians diagnose ...

"How to crop an image is a decision best made by people." After social media exploded with allegations that Twitter's image-cropping algorithm had a racial bias, the company said it investigated and ...

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 ...