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 ...

Bias in generative artificial intelligence algorithms risks producing systemic discrimination across sectors, from job recruitment to public services.

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 ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

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 ...

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 ...

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 ...