The limitations of anti-discrimination law reveal the need for an approach grounded in governance rather than individual liability, Kim argues. She notes that governance shifts the focus from ...

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 ...

To combat algorithmic bias in healthcare, including race and ethnicity is critical, a new study says. Algorithms are used to make healthcare decisions, and can often be more accurate than a clinical ...

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 ...

Algorithms aren’t acting maliciously. They’re doing what they were built to do. That’s why algorithmic bias in marketing is ...

Algorithms are becoming more entrenched in our lives, a consequence of the growing stores of data and the push to make greater use of them. While that’s happening everywhere, in health care, the ...

California Attorney General Rob Bonta is investigating hospitals' software algorithms to help identify potential racial biases in the systems. Listen to Health Affairs' Jessica Bylander and Rob Lott ...

Artificial intelligence and medical algorithms are deeply intertwined with our modern health care system. These technologies mimic the thought processes of doctors to make medical decisions and are ...

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 ...

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 ...