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UID:www.tcs.tifr.res.in/event/1771
DTSTAMP:20260904T071312Z
SUMMARY:Trustworthy AI for Clinical Decision Making
DESCRIPTION:Speaker: Rajeev Alur (University of Pennsylvania)\n\nAbstract: 
 \nRecent advances in machine learning have led to novel AI-based solutions
  to challenging computational problems of societal importance. Yet\, the s
 tate-of-the-art models do not provide reliable explanations of how they ma
 ke decisions\, and can make occasional mistakes on even simple problems. T
 he resulting lack of assurance and trust are obstacles to their adoption i
 n high stakes applications such as clinical decision making. In this talk\
 , I will first explain the problem of forecasting impending cardiac arrest
  by monitoring ECG signals for in-hospital patients. Then I will discuss b
 oth exciting recent advances and remaining challenges in developing an AI-
 based solution that clinicians can trust and deploy.Bio: Rajeev Alur is Zi
 sman Family Professor of Computer and Information Science and the Founding
  Director of ASSET Center for Trustworthy AI at University of Pennsylvania
 . He obtained his bachelor's degree from IIT Kanpur and PhD from Stanford 
 University. His research is focused on principles and tools for design and
  analysis of safe and trustworthy systems. He is a Fellow of AAAS\, ACM\, 
 and IEEE\, an Alfred P. Sloan Faculty Fellow\, and a Simons Investigator. 
 Notable awards include the CAV (Computer-Aided Verification) award\, the A
 lonzo Church award in logic and computation\, IIT Kanpur Distinguished Alu
 mnus Award\, and the Knuth Prize in theoretical computer science. He is th
 e author of the textbook Principles of Cyber-Physical Systems (MIT Press)
 \, was the lead PI of the NSF Expeditions in Computing project ExCAPE on p
 rogram synthesis\, and is the General Chair of Federated Logic Conference 
 (FLoC).\n
URL:https://www.tcs.tifr.res.in/web/events/1771
DTSTART;TZID=Asia/Kolkata:20261210T163000
DTEND;TZID=Asia/Kolkata:20261210T173000
LOCATION:Homi Bhabha Auditorium
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