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 ...

Designer Talia Cotton wanted to create an unbiased logo, so she put an algorithm to work. But that raised all kinds of thorny questions about whether design can ever really be neutral. The practical ...

In a complaint dated February 28, 2026 and signed by SERAP deputy director Kolawole Oluwadare, the organisation said, "Big technology companies operate with enormous influence over Nigeria's digital ...

The rapid proliferation of algorithmic systems has sparked widespread concerns about their potential to perpetuate and ...

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 ...

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.

As I’ve mentioned, one of the biggest problems emerging from the AI revolution has been the thorny question of AI bias. We’ve already seen AI models used for predictive policing accused of ...

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 ...

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 ...

Health systems rely on commercial prediction algorithms to identify and help patients with complex health needs. We show that a widely used algorithm, typical of this industry-wide approach and ...