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.

With regulators increasingly focusing on algorithmic discrimination, human intervention in predictive model programming and artificial intelligence (AI) will be more important than ever. Although the ...

That's become the go-to refrain for why your Instagram feed keeps surfacing the same five people or why YouTube is feeding you questionable "up next" video recommendations. But you should blame the ...

A paper published today in JAMA Network Open addresses bias in healthcare algorithms and provides the healthcare community with guiding principles to avoid repeating errors that have tainted the use ...