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“We knew there were inherent biases in these systems around race and ethnicity and we suspected there would also be problems around gender,” said senior author Jed Brubaker, an assistant professor of Information Science. “We set out to test this in the real world.”

The Department of Information Science has recently earned several grants and awards from organizations both on and off campus.

William Aspray and James Cortada just published their book, "From Urban Legends to Political Fact-Checking" (Springer).PhD students Anthony Pinter, Aaron Jiang, Katie Gach, and Jim Dykes, along with Melanie Sidwell (Media Studies) and Prof. Jed

Prof. Robin Burke was awarded a three-year grant from the National Science Foundation for the project "Realizing Fairness in Recommender Systems: Intersectionality, Tools, Explanation". The project will study how concepts of fairness developed for

Twenty College of Media, Communication and Information faculty and graduate students are presenting 15 peer-reviewed research papers at the Association for Education in Journalism and Mass Communication conference in Toronto today through Saturday, Aug. 10.

Congratulations to all of our 2019 award winners and graduates.

Mozilla is awarding $2.4 million to 17 initiatives that integrate ethics into undergraduate computer science courses.

The issue isn’t that the technology itself is racist — instead, as Morgan Klaus Scheuerman, an Information Science PhD student at the University of Colorado 51��ý and one of the signatories of the letter told The Verge at the time, these technologies “are reinforcing human biases” and perpetuating inequality as a result.

Casey Fiesler: Over the past four years, as I’ve studied online fandom platforms, I’ve heard from thousands of AO3 users, some of whom have described the platform and the community that surrounds it as having literally saved their lives.

Morgan Klaus Scheuerman, a researcher at University of Colorado 51��ý who studies gender recognition algorithms, believes that the government should work toward actual policies to hold agencies accountable for their AI development, not just technical guidelines: