Trustworthy and Robust AI
The science and technology of building robust and trustworthy AI-based systems will be one of the greatest challenges of our time.
The science and technology of building robust and trustworthy AI-based systems will be one of the greatest challenges of our time.
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.
madhu@illinois.edu
University of Illinois at Urbana-Champaign: Professor, Computer Science
sanmi@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Electrical and Computer Engineering
lbo@illinois.edu
University of Illinois at Urbana-Champaign: Assistant Professor, Computer Science
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.