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 ...

Clinicians share a common goal of doing what is best for our patients, and this obligation extends to critically evaluating the tools we adopt into our practice. Clinical algorithms, which we define ...

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 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.

Newswise — A paper published today in JAMA Network Open addresses bias in healthcare algorithms and provides the healthcare community with guiding principles to avoid repeating errors that have ...

Add Yahoo as a preferred source to see more of our stories on Google. As AI continues to spread across the United States and its influence shows no signs of fading, several Democratic lawmakers ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...

Kalshi and Polymarket have taken the trading world by storm in recent years, and now Illinois has become a battleground for the future of “prediction markets.” These newfangled exchanges make it easy ...

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 ...

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 ...