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Trustworthy and Robust AI Goals

Machines that learn from large amounts of data can mimic human intelligence to a large degree but are inherently fragile. Our research areas include autonomous vehicles and drones, robots in manufacturing and assisted living, robotic surgery, and AI applications in finance that call for privacy, fairness and ease of use.

Trustworthy and Robust AI Team

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Madhusudan Parthasarathy

madhu@illinois.edu


University of Illinois at Urbana-Champaign: Professor, Computer Science

Zuck, Lenore 2 CS 1UI4530

Lenore Zuck

zuck@uic.edu


University of Illinois at Chicago: Research Professor, Computer Science

Buy Phd

Ugo Buy

buy@uic.edu


University of Illinois at Chicago: Associate Professor, Computer Science

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Sanmi Koyejo

sanmi@illinois.edu


University of Illinois at Urbana-Champaign: Assistant Professor, Electrical and Computer Engineering

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Bo Li

lbo@illinois.edu


University of Illinois at Urbana-Champaign: Assistant Professor, Computer Science

Trustworthy and Robust AI Team in the News

DPI Awards R&D Grants to Support Illinois CS Faculty

UIUC Grainger College of Engineering News

This team will work to train people on how to build safe and unbiased algorithms. “While there have been tremendous advances in AI and machine-learning in recent years, these mechanisms are still fragile and opaque,” shared team lead Madhusudan Parthasarathy, Professor of Computer Science. Co-principal investigators on the project are Illinois CS Assistant Professors Sanmi Koyejo and Bo Li.