A Symposium on Communication & Intelligence
May 8th, 2026, 9:00 AM - 5:30 PM DSI (Data Science Institute) 105
This symposium is a place to discuss how to think about the intertwining of Communication and Intelligence in an age of machines that talk back. We increasingly interact with technology that attempts (simulates?) communication with humans, rather than just signaling information passively for a user to interpret. While the term “AI” has been around since the 50’s, the explosion of products, services, and bots that create a complex dialogue with their users (and even among themselves!) has created a phase shift in how we interact with machines that wield language. How should we study AI that communicates, rather than just solves a well-defined problem on its own? What are the structures of the new communication networks AI helps create, spanning people, machines, and institutions? What “counts” as communication and can AI help us decompose how it works more clearly? Can machines that communicate help us communicate better? Or are they merely eroding and biasing our human communication by polluting the commons? In this symposium we will discuss how communication and intelligence interact—in humans, in machines, and between them.
Invited Speakers
Call for poster presentations
We invite all researchers and practitioners to submit poster presentations for the Symposium on Communication & Intelligence. This is an opportunity to showcase your work, share insights, and engage in discussions about the intersection of AI and human communication. We are particularly interested in presentations that examine opportunities and challenges to achieve complementary and beneficent AI. Automation will happen inevitably—but where are the opportunities for symbiosis? Poster presenters will have the opportunity to display their posters at the Symposium and engage with fellow attendees during poster sessions. This is a chance to receive feedback, establish collaborations, and contribute to meaningful conversations about the future of interaction between humans and AI.
Organization
The organizing committee for the Symposium on Communication & Intelligence are Chenhao Tan and Ari Holtzman. This event is made possible by generous support of the Stevanovich Center for Financial Mathematics.
Schedule
Abstract
TBD
Speaker Bio
I am an assistant professor in the Computer Science Department at Stanford, affiliated with the Stanford NLP Group, Stanford HCI Group, Stanford AI Lab (SAIL), and Stanford Human-Centered Artificial Intelligence (HAI).
Abstract
TBD
Speaker Bio
Dashun Wang is the Kellogg Chair of Technology and a Professor at the Kellogg School of Management and McCormick School of Engineering at Northwestern University. At Kellogg, he is the Founding Director of the Northwestern Innovation Institute, the Founding Co-Director of the Ryan Institute on Complexity, and the Founding Director of the Center for Science of Science and Innovation (CSSI). He is also a core faculty member at the Northwestern Institute on Complex Systems (NICO). His current research focus is the Science of Science, a quest to turn the scientific methods and curiosities upon science itself. He uses and develops tools from complexity sciences and artificial intelligence to broadly explore the opportunities for innovation and promises of prosperity offered by the recent data explosion in science. His research has been published in journals like Nature and Science, and it has been featured in virtually all major global media outlets. Dashun is a recipient of multiple awards for his research and teaching, including the AFOSR Young Investigator award, Poets & Quants Best 40 Under 40 Professors, Complex Systems Society’s Junior Scientific Award, the Erdos-Renyi Prize, Thinkers50 Radar, and more.
Abstract
TBD
Speaker Bio
I am a researcher interested in developing neural language systems, deeply understanding them, and precisely controlling them, for the sake of peoples’ access to information and useful tools. I did my PhD research at Stanford Computer Science, as part of the NLP group. I’m grateful to have been co-advised by Chris Manning and Percy Liang, and to have been supported by an NSF Graduate Research Fellowship. Before that, I did my undergrad studies at Penn.
Abstract
TBD
Speaker Bio
I am the Morris Kahn Associate Professor of Psychology in the Department of Psychology at Harvard University. I head the Computation, Cognition, and Development lab, with a focus on intuitive theories and people’s common-sense reasoning about physics and psychology. I’m also an affiliate of the Kempner Institute for the Study of Natural and Artificial Intelligence.