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 ...

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

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 ...

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 ...

AI tools used for case summarisation or legal research (like Sansad Bhashini) must be guarded against “hallucinations” and “Black Box” reasoning, where the ...

YouTube hosts millions of videos related to health care. The Health Information National Trends Survey reports that 75% of Americans go to the internet first when looking for information about health ...

Artificial intelligence is no longer a futuristic concept in medicine. It is already in the exam room, hospital, insurance system, and telehealth platforms.

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 ...

Trust in 2026 is a data relationship. It’s built through consistency, context and presence across platforms that machines ...

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 ...

To harness the best parts of AI — and avoid its worst possible outcomes — you need an AI strategy that not only includes technical implementation tactics but also prioritizes efforts to minimize bias, ...