Trustworthy AI
Our researchers design intelligent systems that are transparent, reliable, fair and aligned with human needs.
As AI systems become increasingly integrated into everyday life, the center develops methods that improve explainability, interpretability, fairness, robustness and safety while ensuring intelligent systems can be understood, trusted and used with confidence.
UMIACS Faculty Lead, Deliver Keynotes at Major International Conferences
Three UMIACS researchers took on leadership and speaking roles at international conferences spanning AI, computational biology and microbiome research.
Quantum Leap Career Nexus 2026
The Quantum Leap Career Nexus (QLCN) is a premier, global networking, recruitment, and mentorship workshop for careers in the quantum industry.
New Tool Reveals Hidden Security Risks in AI Systems
UMD researchers uncovered hidden flaws in software that powers popular AI systems.
CBCB Researchers Showcase Research at ISMB 2026
Faculty, students and a postdoctoral researcher will contribute talks, posters and a keynote address.
Summer REU Students Apply Algorithms to Real-World Problems
Twenty-seven undergraduates are spending the summer at UMD applying algorithms to real-world research challenges.
Tiny Insects, Big Ideas for AI
Research inspired by bees could improve autonomous drones for agriculture, disaster response and more.
David Jacobs Named Director of UMIACS
The noted expert in computer vision and machine learning will begin leading the multidisciplinary research institute this fall.
Teaching AI to Listen: UMD Researcher Models How People Learn New Languages
Doctoral student Annika Shankwitz is using AI to better understand how people perceive unfamiliar speech sounds.