AI4OPT Seminar Series

Date: Thursday, Aug 24, 2023

Time: Noon – 1:00 pm

Location: 9th floor Atrium in Coda Building (756 W Peachtree St NW, Atlanta, GA 30308)

Join Virtual: https://gatech.zoom.us/j/99381428980

Speaker: Mohit Prabhushankar

Towards Robust Neural Networks: Explainability, Uncertainty, and Intervenability

Abstract: Neural network driven applications suffer from hallucination and calibration issues where they confidently provide inaccurate information. A fundamental reason for this inaccuracy is the lack of robust measures that are applied on the underlying neural network predictions. In this talk, we identify and expound on three human-centric robustness measures, namely explainability, uncertainty, and intervenability, that every decision made by a neural network must be equipped and evaluated with. Explainability and uncertainty research fields are accompanied by a large body of literature that analyze decisions. Intervenability, on the other hand, has gained recent prominence due its inclusion in the GDPR regulations and a surge in prompting-based neural network architectures. We connect all three fields using gradient-based techniques to create robust neural network models. 

 Bio: Mohit Prabhushankar received his Ph.D. degree in electrical engineering from the Georgia Institute of Technology (Georgia Tech), Atlanta, Georgia, 30332, USA, in 2021. He is currently a Postdoctoral Research Fellow in the School of Electrical and Computer Engineering at the Georgia Institute of Technology in the Omni Lab for Intelligent Visual Engineering and Science (OLIVES). He is working in the fields of image processing, machine learning, active learning, healthcare, and robust and explainable AI. He is the recipient of the Best Paper award at ICIP 2019 and Top Viewed Special Session Paper Award at ICIP 2020. He is the recipient of the ECE Outstanding Graduate Teaching Award, the CSIP Research award, and of the Roger P Webb ECE Graduate Research Excellence award, all in 2022.

Lunch will be served at the seminar. So, please stop by 15 minutes before the seminar to pick up lunch.

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Past seminars can be found at https://www.ai4opt.org/seminars/past-seminars.