UNIVERSITY PARK, Pa. — Umang Bhatt, a doctoral candidate in the Machine Learning Group at the University of Cambridge, will present a free public lecture titled “Challenges and Frontiers in Deploying Transparent Machine Learning” at 4 p.m. Tuesday, April 12. The lecture is part of the Young Achievers Symposium series hosted by the Center for Socially Responsible Artificial Intelligence and will be held live via Zoom View Webinar. No registration is required.

Bhatt’s research explores human-machine collaboration and trustworthy machine learning. He studies how to create AI systems that explain their predictions to stakeholders, leverage stakeholder expertise for better human-machine team performance, and interact with stakeholders to account for their goals and values. His talk will discuss how most efforts at explainability are for machine learning engineers instead of end-users, which presents a gap between the stated goals of explainability and how it’s used in practice.

The Young Achievers Symposium series will conclude its spring events with a lecture from Paidamoyo Chapfuwa, a postdoctoral research fellow at Stanford University, from 4 to 5 p.m. Tuesday, April 26, via Zoom.

Previous lectures can be viewed at the Center for Socially Responsible Artificial Intelligence website.

About the Young Achievers Symposium

The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.

For more information, contact Amulya Yadav, assistant professor in the College of Information Sciences and Technology, at auy212@psu.edu.