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 ...

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.

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant ...

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.

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 ...

Artificial intelligence (AI) algorithms have become integral to our modern lives, influencing everything from online ads to recommendations on streaming platforms. While they may not be inherently ...

Bias in algorithms have always been a key issue in the growing field of artificial intelligence. For instance, researchers found in an experiment that flawed AI in robots has the tendency to make ...

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 ...

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 ...

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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 ...