Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...

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 ...

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 ...

AI hiring is transforming small businesses in 2026. The critical question: how can owners leverage AI for efficiency—automating resume review and finding qualified candidates faster—while navigating ...

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 ...

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 ...

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 ...

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...