Artificial intelligence and algorithms can perpetuate unintentional, biased housing decisions. Human Rights Commission hosts ...

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 ...

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said.

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.

Across the country, algorithms are shaping decisions about who gets hired, who advances, and who is filtered out, often before a hiring manager ever takes a closer look. What began as an efficiency ...

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 ...

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 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.

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 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 ...

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 ...