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.

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 ...

A former high-level Google employee said "terrifying patterns" were discovered in Google's core products and hypothesized how bias may have entered the Gemini artificial intelligence (AI) chatbot.

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Carey K. Morewedge, Boston University (THE CONVERSATION) Algorithms are a staple of ...

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 ...

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 ...

Carey K. Morewedge does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...