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 ...

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 ...

Humans are naturally full of biases, both conscious and unconscious. One of our very first lessons for startup founders in the RIoT Accelerator Program is centered on understanding our biases and ...

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 ...

Why a Tech Power Player? For her critical work on the biases present in AI. Joy Buolamwini didn’t set out to become one of the best-known critics of artificial intelligence. But while a graduate ...

Today, AI is rapidly reshaping the financial sector, from optimizing algorithmic trading to empowering fintech startups, offering innovative solutions to streamline decision-making, reduce costs, and ...

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 ...

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 ...