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 ...

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 ...

As AI continues to spread across the United States and its influence shows no signs of fading, several Democratic lawmakers reintroduced the Artificial Intelligence (AI) Civil Rights Act on Wednesday, ...

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. AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve ...

Data, numbers, algorithms are supposed to be neutral... right? Computer scientist Joy Buolamwini discusses the way biased algorithms can lead to real-world inequality. A version of this segment was ...

HAVE you ever been rejected from a university? Ever had a job, credit card, mortgage, rental, travel visa, scholarship, or study permit application turned down without explanation? Have you ever been ...

YouTube hosts millions of videos related to health care. The Health Information National Trends Survey reports that 75% of Americans go to the internet first when looking for information about health ...

When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

New research by Questrom’s Carey Morewedge 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 ...