Explainable Artificial Intelligence by Prof. Sargur N. Srihari SUNY Distinguished Professor

Location: CSA Lecture Hall (Room No. 117, Ground Floor)

Department of Computer Science and Automation
CSA Distinguished Lecture

Speaker : Prof. Sargur N. Srihari
SUNY Distinguished Professor
Department of Computer Science and Engineering
University at Buffalo
The State University of New York

Title : Explainable Artificial Intelligence

Date : Thursday, July 18, 2019

Time : 4:00 PM

Venue : CSA Lecture Hall (Room No. 117, Ground Floor)


Today’s AI approaches based on deep learning perform perceptual and other tasks exceedingly well. However the methods optimize the solution to each task, without considering the interpretability of the solution by humans. In tasks where human judgment is a necessary component, as in critical applications such as medicine, defense and forensics, it is necessary for the decision by the AI system to be  accompanied by an explanation. We will describe different types of explainability in AI, emphasizing probabilistic approaches. We will take the example of forensic comparison and show how a high  performance deep learning system and an explainable system can coexist.

Biography of the speaker

Srihari is a SUNY Distinguished Professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York. Srihari’s research and teaching is in artificial intelligence and machine learning. His work led to the world’s first automated system for reading handwritten postal addresses. It was deployed on a large-scale by the United States Postal Service and then expanded to the UK and Australia. A side-effect was that it led to the task of recognizing handwritten digits to be considered the fruit-fly of AI. Srihari also spent a decade extending the methods to forensic pattern evidence– latent prints, handwriting and footwear impressions– which provided a scientific basis for presenting such testimony in US federal courts. Srihari’s honors include: Fellow of the IEEE, Fellow of the International Association for Pattern Recognition and distinguished alumnus of the Ohio State University College of Engineering. Srihari received a B.Sc. from the Bangalore University, a B.E. from the Indian Institute of Science and a Ph.D. in Computer and Information Science from the Ohio State University.

Host Faculty : Prof. M. Narasimha Murty

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