CDS Industry Connections Lecture Series

Industry Connections Lecture Series

Technology Experts Sharing Their Experiences, Expertise, and Job Market Insights

The Industry Connections Lecture Series offers valuable insights from experts, providing a deep dive into current trends and challenges within a specific field. Each session is designed to enhance understanding and career prospects through practical advice and real-world examples. The series, organized by Leonidas Kontothanassis, MassMutual Professor of the Practice of Computing & Data Sciences and Director of Industry Engagement, welcomes data science experts from a variety of sectors including technology, healthcare, film industries, and more.

Spring 2025

Meeting the Challenge of Cracking Open Large-Scale AI with David BauDavid Bau Northeastern University

Friday, April 18 | 2-3 PM
BU Computing & Data Sciences, 665 Comm Ave., Boston, Room 1646

About the Talk: What can humanity learn when we crack open black-box AI systems and look inside? In this talk, David will examine some recent insights from interpretable machine learning, asking how large-scale AI systems organize knowledge, Theory of Mind, and a "dual route model of induction" that uncovers a separation between token, concept, and functional representations during in-context learning.  After discussing recent work from the Bau lab as well as some inspiring results across the field, David will also discuss policy questions confronting machine learning including—How will we preserve human agency in a world of "superhuman AI?" Is interpretability essential for long-term progress in the field? And if so, what does it mean about how we should structure our industry today?

About the Speaker: David Bau is an assistant professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. Bau's research focuses on human-computer interaction and machine learning. Before joining Northeastern, he worked as a software engineer at Google, BEA, and Crossgain. He has been published in journals such as CVPR, NeurIPS, ICCV, ECCV, and SIGGRAPH. Outside of research, Bau enjoys astronomy and puzzle collecting.

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