AI Seminars

Explore groundbreaking advancements in artificial intelligence, engage with thought leaders, and gain insights into the future of AI.

Join the AI Seminar virtually

Most of our AI seminars are available virtually. On the day of the event, you can watch via the Zoom link below. Archived videos are typically available within a week of each seminar.

Upcoming Seminars

 

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Past Events

2025 to present

 

Seminars prior to 2025/26 academic year

Adnan Darwiche

AI Seminar: Explainable AI with Guarantees

Adnan Darwiche

Professor of Computer Science, UCLA

OSU Crest.

AI Seminar: Where do Ethics Belong in Artificial Intelligence?

Houssam Abbas and Alicia Patterson

Alan Fern

AI Seminar: What is the road to humanoid laborers?

Alan Fern

Professor of computer science, artificial intelligence, and robotics, ¾«¶«Ó°ÊÓ State University

Adam Harley

AI Seminar: From Pixels to Measurements: Understanding the Dynamic World

Adam Harley

Kendrea Beers

AI Seminar: Principles for AI Governance

Kendrea Beers

Mitchell Black

Challenges and Trade-Offs for Graph Neural Networks

Mitchell Black

Jason Corso

AI Seminar: Curious Embeddings, Hazy Oracles, and the Path to Safe, Cooperative AI

Jason Corso

Rohit Israni

AI Seminar: Responsible AI with International Standards

Rohit Israni

Aryan Deshwal

AI Seminar: Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design

Aryan Deshwal

Kiri Wagstaff

AI Seminar: What I Learned Serving as an AI Expert in the U.S. Congress

Kiri Wagstaff

Haoyou Yang

AI Seminar: Illuminating the Future of Lithography: AI-Powered Simulation and Optimization

Haoyu Yang

Sharmodeep Bhattacharyya

AI Seminar: Change Point Detection with Localization

Sharmodeep Bhattacharyya

Robin Abraham

A Fireside Chat with an ¾«¶«Ó°ÊÓ Stater Awardee

Robin Abraham

Xiao Fu

AI Seminar: Towards Provable Unaligned Multimodal Learning: A Model Identification Perspective

Xiao Fu

Joshua Bhagat Smith

AI Seminar: Adaptive Workload Modeling for Human-Robot Teams

Joshua Bhagat Smith

Pascal Poupart

AI Seminar: Training Machines to Know What They Don't Know

Pascal Poupart

Pascal Poupart

AI Seminar: Inverse constraint learning and risk averse reinforcement learning for safe AI

Pascal Poupart

Weng-Keen Wong

AI Seminar: Deep Learning for Radio-Frequency Device Fingerprinting

Weng-Keen Wong

Kunpeng Liu

AI Seminar: Towards Automated Data Mining: Reinforcement Intelligence for Self-Optimizing Feature Engineering

Kunpeng Liu

Siddharth Srivastava

AI Seminar: When Sparse Data is All You Have: Learning World Models for Generalizable Planning and RL with a View Towards AI Assessment

Siddharth Srivastava