Our recent paper in Science showed that an algorithm widely used for population health management has significant racial bias. The scale of impact is large, affecting health care decisions for at ...

Two experts discuss what you need to know about the technology’s limitations and how to avoid unforeseen consequences.

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.

CAMBRIDGE, Mass. — After retreating from their workplace diversity, equity and inclusion programs, tech companies could now face a second reckoning over their DEI work in AI products. In the White ...

IEEE 7003-2024, “Standard for Algorithmic Bias Considerations" The Institute of Electrical and Electronics Engineers (IEEE) recently released IEEE 7003-2024, “Standard for Algorithmic Bias ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

In this special guest feature, Sanjay Arora, CEO and Founder of Million Short, examines the dangers of algorithmic bias. It’s tempting to regard algorithms as objective, unbiased constructs that are ...

AI-driven decision tools are increasingly determining what post-acute care services patients receive, and what they don’t. As a health tech CEO working with hospitals, skilled nursing facilities (SNFs ...

According to data from Duke University Reporters' Lab, there are 443 platforms actively engaged in fact-checking worldwide (Duke Reporters' Lab, 2025). These organizations play an important role in ...

Twitter reworking billionaire Elon Musk has stated that he will open up a new algorithm related to operations on the social ...