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.

Algorithms were supposed to remake the American justice system. Championed as dispassionate, computer-driven calculations about risk, crime, and recidivism, their deployment in everything from ...

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 ...

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.

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 ...

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 ...