News
New UMD research found that even when prompts using generative artificial intelligence lean toward positive emotion, such as joy or excitement, the images generated from these prompts tend to evoke fear as the dominant emotion. Illustration by Adobe Stock.
Maryland Today: How Images Reflect AI’s Dark ‘Spiral’ (ft. Cody Buntain)
INFO Assistant Professor Cody Buntain explores biases in generative AI, revealing how models often produce more negative content
Photo licensed by Adobe Stock
The New Frontline: AI, Images, and Information Influence
A UMD-led project is leveraging AI to help the U.S. Air Force and Space Force understand—and counter—the powerful role of visual me …
(Video) CAFe Speaker Series: “Developing the Maryland State Archives’ Indigenous Records Website for Engagement and Access”
Featuring Maria Day, Senior Director of Special Collections, Conservation, and Library Services at Maryland State Archives
News Release: UMD College of Information Soars to #3 in Nation for Master of Library and Information Science Program
Prestigious U.S. News & World Report ranking reflects program’s excellence and innovation
Keith Marzullo with UMD Mascot Testudo
Transition of College of Information Dean Keith Marzullo
After a decade of leadership and innovation at UMD, Keith Marzullo is transitioning on June 30, 2025 to a new position at UMass Amherst
(Video) Search Mastery Speaker Series: “Search and the News”
Dr. Daniel Trielli discusses how search engines impact news, media bias, and journalism’s future in the digital age
Photo by Compare Fibre on Unsplash
Lessons from COVID: INFO’s Unexpected Remote Learning Revolution
Human-centered approaches to teaching and learning remotely endure, improving access
Instead of regulators playing catch-up, AI developers could help create safer systems if market-based incentives were put in place, UMD researchers say. Illustration by iStock.
Maryland Today: UMD Research Sends AI Safety to Market (ft. Abdirisak Mohamed)
INFO’s Abdirisak Mohamed joins UMD researchers in designing a market-driven approach to AI safety
