AI-in-the-loop for informed healthcare
Guest Talk by Prof. Sriraam Natarajan, Director Center for Machine Learning, University of Texas at Dallas
Abstract
Historically, Artificial Intelligence has taken a symbolic route for representing andreasoning about objects at a higher-level or a statistical route for learning complexmodels from large data. To achieve true AI in complex domains such as healthcare, itis necessary to make these different paths meet and enable seamless human interaction.First, I will introduce learning from rich, structured, complex and noisy data. One ofthe key attractive properties of the learned models is that they use a richrepresentation for modeling the domain that potentially allows for seam-less humaninteraction. I will present the recent progress that allows for more reasonable humaninteraction where the human input is taken as "advice" and the learning algorithmcombines this advice with data. I will present these algorithms in the context ofseveral healthcare problems -- learning from electronic health records, clinicalstudies, and surveys -- and demonstrate the value of involving experts duringlearning.
Wann?
16. Oktober 2025, 17:00-18:30
Wo?
hessian.AI-Gebäude, S4/23, Landwehrstraße 50A, 4. Stock, Raum 318
Hybrid: https://tu-darmstadt.zoom-x.de/j/68847993515?pwd=QdNlBWx0EGYGEGUltb5sNurVZ8xJbK.1
Veranstalter
hessian.AI
Short Bio
Dr. Sriraam Natarajan is a Professor and the Director for Center for ML at theDepartment of Computer Science at University of Texas, Dallas. He is a AAAI fellow,hessian.AI fellow and a RBCDSAI Distinguished Fellow at IIT Madras. His researchinterests lie in the field of Artificial Intelligence, with emphasis on MachineLearning, Statistical Relational Learning and AI, Reinforcement Learning, GraphicalModels and Biomedical Applications. He has won several awards including thePresident's teaching award for excellence in graduate teaching, the Young Investigatoraward from US Army Research Office, several industry awards and best paper awards. Hewas the program co-chair of AAAI 2024, SDM 2020 and ACM CoDS-COMAD 2020 conferences.He is an associate editor of MLJ, JAIR and DAMI journals and is an elected member ofAAAI executive council.
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