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 ...
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 ...
Part 2, Digital Inequality Series: Under what conditions can artificial intelligence benefit all of society vs. just a few people? Kalinda Ukanwa, a quantitative marketing scholar at the University of ...
Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...
A public interest group filed a U.S. federal complaint against artificial intelligence hiring tool, HireVue, in 2019 for deceptive hiring practices. The software, which has been adopted by hundreds of ...
CAMBRIDGE, Mass. (AP) — 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 ...
A new study led by USC Rossier School of Education Professor Brendesha Tynes, and published in JAMA Network Open, reveals that Black adolescents in the U.S. experience an average of six race-related ...
California’s SB 7 is part of a larger trend in AI regulation, as lawmakers across the country attempt to prevent algorithmic bias and increase transparency in hiring. Criminal background checks have ...
Source: Walther, Claude. 2025 Artificial intelligence is used to generate everything from news articles to marketing copy. This pervasive AI influence comes with a troubling pattern: AI systems ...
Allegheny County is still deciding how AI fits in with governing. This essay by Matt Petras was originally published by PublicSource, a news partner of Technical.ly. PublicSource is a nonprofit media ...
AI-driven decision tools are increasingly determining what post-acute care services patients receive, and what they don’t. As a health tech CEO working with hospitals, skilled nursing facilities (SNFs ...
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 ...