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.

For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan — even ...

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.

Many physicians are now using algorithms that consider a patient's sex, like heart disease risk assessment tools, to help with clinical decision-making. Reliance on these algorithms may result in men ...

I think we really have to think politically and really think about our values and what we need to protect there," Michael Livermore said.

On May 16, 2025, United States District Judge Rita Lin granted a Motion for Conditional Certification of Collective Action in Mobley v. Workday, ...

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 ...