OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series. 

My name is Sundar. I am an Ethics and Risk professional and an AI Ethics researcher. I am the host of this podcast. 

Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems. 

This project is done in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization dedicated to minimizing the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more visit https://forhumanity.center/. 

Today, we have with us Balagopal Uninikrishnan. AI researcher focused on building algorithms and tools aiming to advance healthcare through technology. I'm currently a PhD student at the University of Toronto, advised by Dr. Chris McIntosh and Dr. Michael Brudno where my research revolves around developing algorithms that address biases in AI models applied to medical data. He is also a Schwartz Reisman Institute graduate fellow. 

He did his Masters from the National University of Singapore (NUS), specializing in Computational Intelligence. Before joining the PhD program, He has also worked as an AI Engineer developing IP and building tools for AI augmented healthcare applications.  We are going to be speaking about a paper which he recently co-authored Shortcut learning in medical AI hinders generalization.