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 ...

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, ...

The Brandeis Center for Teaching and Learning has done a great job working on Ethics frameworks for the use of AI over the past many months. Below you will find links to the work the group has done, ...

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 ...

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 ...

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 ...

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 ...

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 ...

Did you hear the one about how aid workers rebuilt homes after a flood—and forgot to include kitchens? How about the entrepreneur whose product was dismissed by funders as too “niche”—but whose ...