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Sign up for our mailing list if you would like to be notified about our public events. Our events are organized with help from the following graduate students:

AI Tea Coordinators: Kaijain Zou & Angana Borah
AI Seminar Tsar: Ziqiao Ma
Friday Night AI Coordinators: Yara El-Tawil (FA & WN) & Snehal Prabhudesai (WN)
Michigan Science Center Coordinators: Meera Kirshnamoorthy & Snehal Prabhudesai (FA)
NLP Day Coordinators: Siyang Liu & Muhammad Khalifa
AI Blog Editors: Trenton Chang & Vaibhav Balloli

AI Seminars provide a forum for researchers in this important area to share their findings and thoughts. If you are interested in supporting Michigan AI events, please consider donating by clicking here.

Events for 2023

AI Seminar: Cynthia Rudin – Understanding How Dimension Reduction Tools Work

Cynthia Rudin, Professor, Computer Science and Engineering, Duke University

AI Seminar | Women in Computing

Confounding-Robust Policy Learning under Sequentially Exogenous Unobserved Confounders

Angela Zhou, Assistant Professor, Data Sciences and Operations, University of Southern California

Natural Language Processing Seminar | Women in Computing

Systematic Study of 75K Models on Hugging Face

Nazneen Fatema Rajani, Research Lead, Hugging Face

A Defense of (Empirical) Neural Tangent Kernels

Danica Sutherland, Assistant Professor, University of British Columbia

AI in Science & Engineering Day

Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding

Parisa Kordjamshidi, Assistant Professor, Michigan State University

Responsible Data Science and AI mini-symposium

Implementing AI in Health

NLP @ Michigan Day

Data and AI in Society Forum Series: Generative AI, Composition, and Creativity

“The Future of Fintech” Conference

Dissertation Defense

Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation

Mimansa Jaiswal

Preparing for Your Industrial Job Search

Lei Li, Director of Digital Innovation in P&G’s Feminine Care Business

Pete Ellingson, R&D Director and Open Innovation Manager in P&G’s Corporate R&D function

Hua Hu, Director, Principal Scientist in P&G’s Fabric and Home Care R&D focusing on M&S and DI to design devices, equipment, and processes across FHC

Friday Night AI | ChatGPT: What is it and what are its abilities and limitations?

From Theory to Practice: Building Ethical and Trustworthy AI

Dissertation Defense

Where are the Humans in Human-AI Interaction: The Missing Human-Centered Perspective on Interpretability Tools for Machine Learning

Harmanpreet Kaur

NSF Priorities and Opportunities for Data Science and AI

Dr. Alfred Hero, Program Director in the NSF CISE Directorate, and the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and R. Jamison and Betty Williams Professor of Engineering, University of Michigan

Dissertation Defense

Cognitive Modeling of Aggregate and Individual Performance on the Remote Associates Test

CSE Seminar | Division Event

Human-Centered AI Transparency: Lessons Learned and Open Questions in the Age of LLMs. Lecture to be followed by panel discussion.

Q. Vera Liao, Principal Researcher, Microsoft Research Montréal

Dissertation Defense

Towards an Algorithmic Account of Phonological Rules and Representations

Dissertation Defense

Understanding, Modeling and Leveraging Temporal Change in Mental Health

Dissertation Defense

Discovering Structured Representations for Reinforcement Learning

Effective and Efficient Knowledge-Intensive NLP

Meng Jiang, Associate Professor of Computer Science and Engineering, University of Notre Dame

Generative AI for Research – a Faculty Workshop (Part I)

Generative AI for Research – a Faculty Workshop (Part II)

Dissertation Defense

Efficient Game Solving through Transfer Learning

Dissertation Defense

Neural Language Generation for Content Adaptation: Explainable, Efficient Low-Resource Text Simplification and Evaluation

Cristina Garbacea

Dissertation Defense

Multiagent Learning by Iterative Refinement of Game Models

Generative AI in the Lab | Generative AI Coast-to-Coast Series

Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering,
The Ohio State University

Arlei Silva, Assistant Professor of Computer Science,
Rice University

Angela Wilkins: Moderator, Executive Director, Ken Kennedy Institute,
Rice University

Conversations on Policy, Ethics, and Generative AI | Generative AI Coast-to-Coast Series

Marjory Blumenthal,
International Computer Science Institute

Merve Hickok, President, Center for AI & Digital Policy,
School of Information – University of Michigan

Jing Liu : Moderator, Executive Director, Michigan Institute for Data Science,
University of Michigan

Dissertation Defense

Analysis of Situated Interactive Non-Expert Instruction of A Hierarchical Task to a Learning Robot

An Under the Hood Look at Generative AI: Potentials and Pitfalls | Generative AI Coast-to-Coast Series

David Evan Harris, Senior Research Fellow,
International Computer Science Institute

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; ,
University of Michigan

Sarah Stone: Moderator, Executive Director, eScience Institute,
University of Washington

Measuring and Improving the Internal Conceptual Representations of Deep Learning

Ramakrishna Vedantam, Independent Researcher, New York University

Natural Language Processing Seminar

From NLP to socially and personally contextualized understanding | Modeling empathy in NLP for Support-Oriented Interactions

Lucie Flek , Computer Science Professor ,
University of Bonn

Allison Lahnala, Visiting Scholar in SBU CS, HLAB,
University of Bonn

NSF Priorities and Opportunities for Data Science and AI

Dr. Pamela Davis-Kean, Program Director, Developmental Science Program of the NSF SBE Directorate

MIDAS Seminar | Symposium

MIDAS mini-symposium | Generative AI: Diffusion Models for Scientific Machine Learning

Postcards from the Future

Kurt Skifstad, Director of the Center for Entrepreneurship , University of Michigan

AI for Medical Imaging

Learning to Re-create Reality in 3D

Jeong Joon Park, Assistant Professor, Computer Science and Engineering, University of Michigan

Answering Why Questions about Narrative Text

Raymond J. Mooney, Professor of Computer Science, University of Texas at Austin

Generative AI Tutorials | Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

Toward The Next-Generation Health and Well-being: The Synergy of Behavior Modeling and Intervention

Dr. Orson Xu, Postdoc, MIT EECS

Sidestepping the Black-Box: A New Paradigm for Explainable AI

Amulya Yadav, PNC Technologies Career Development Assistant Professor, College of Information Sciences and Technology, Penn State University

Women in Computing

AGI is Coming… Is HCI Ready?

Meredith Ringel Morris, Director and Principal Scientist for Human-AI Interaction Research, Google DeepMind

Friday Night AI: “Generative AI for Teaching and Learning: An Opportunity or a Threat?”

Moderator: Rada Mihalcea, Director,
Michigan Artificial Intelligence Laboratory

Panelist: Kevyn Collins-Thompson, Director,
Masters in Applied Data Science Program

Panelist: Zara Burzo, Student,
Skyline High School

Task Planning with Large Language Models

Lajanugen Logeswaran, Research Scientist, LG AI Research

Michigan AI Symposium | Responsible AI

Generative AI Tutorials | Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

Recent Advancements in Quantization, Pruning and Knowledge Distillation

Gaowen Liu, Research Scientist, Cisco Systems

MIDAS Seminar | Symposium

MIDAS mini-symposium | AI-driven Research Workflows

Learning Syntactic Structures from Visually Grounded Text and Speech

Freda Shi, Incoming Assistant Professor, David R. Cheriton School of Computer Science, University of Waterloo

Unifying the Cognitive Sciences

Karl Friston, Professor of Imaging Neuroscience

Generative AI Tutorials | Integrating Generative Image AI into Your Research Workflow

20th Annual CSE Graduate Honors Competition

Dissertation Defense

Aligning Objectives of Machine Learning with Clinical Care

Interaction Design Challenges for AI in Medicine

Maia Jacobs, Assistant Professor, Computer Science, Northwestern University

MIDAS Seminar | Other Event

MIDAS Annual Data Science & AI Summit 2023

MIDAS Seminar | Other Event

MIDAS Annual Data Science & AI Summit 2023

Human-Centered Artificial Intelligence at Howard University

Gloria Washington, Associate Professor, Computer Science, Howard University

Dissertation Defense

Human-Centered Natural Language Processing for Countering Misinformation

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Jay-Yoon Lee, Assistant Professor, Graduate School of Data Science, Seoul National University

Bridging AI, Data, and Epidemiological Models

Alexander Rodríguez, Assistant Professor, Computer Science and Engineering, University of Michigan

Generative AI Tutorials | Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions

William Gould Dow Distinguished Lecture

Why do large AI models display new and complex skills?

Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University

Computing and AI: Traversing the Journey from Innovation to Convergence to Translation

Nitesh Chawla, Frank M. Freimann Professor of Computer Science and Engineering, University of Notre Dame

AI Seminar | Dissertation Defense

Data-driven Solutions for Blood Glucose Management

Harry Rubin-Falcone, PhD Candidate, University of Michigan

Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI

Q. Vera Liao, Principal Researcher, Microsoft Research Montreal

Rewriting Conventional Societal Narratives with Data and AI

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