Tuesday, April 15, 2025 - 4:00pm
Event Calendar Category
Other LIDS Events
Speaker Name
Elena Glassman
Affiliation
Harvard University
Building and Room number
45-102
Elena Glassman
Assistant Professor of Computer Science at Harvard John A. Paulson School Of Engineering And Applied Sciences
Website
"Leveraging Theories of Human Cognition to Build Reliable Tools from Unreliable AI"
AI is powerful, but it can make choices that result in objective errors, contextually inappropriate outputs, and disliked options. This is especially critical when AI-powered systems are used for context- and preference-dominated open-ended AI-assisted tasks—like ideating, summarizing, searching, sensemaking, and the reading and writing of text or code. We need AI-resilient interfaces that help users notice and recover from AI choices that are not right, or not right for them given their goals and context. We have derived design implications from key theories of human cognition to help us build more AI-resilient interfaces and reliable tools from unreliable AI. This talk will walk through two new systems that demonstrate this approach: CorpusStudio, an AI-powered writing environment, and MOCHA, a tool for co-adaptive machine teaching.
Elena L. Glassman is an Assistant Professor of Computer Science at the Harvard John A. Paulson School of Engineering & Applied Sciences, specializing in human-computer interaction. Prior to that, she was a postdoctoral scholar at UC Berkeley, and obtained a BS, MEng, and PhD in Electrical Engineering and Computer Science from MIT. She has been named a Stanley A. Marks & William H. Marks Professor at the Radcliffe Institute for Advanced Study and a National Academy of Sciences Kavli Fellow. Her work has been funded by the NSF, private industry, the Berkeley Institute for Data Science, and the Sloan Research Fellowship. This work has received Best Paper and Honorable Mention awards at top-tier human-computer interaction research venues.
Join us for an engaging seminar series featuring distinguished scholars exploring AI’s impact on society, ethics, governance, and human-computer interaction. Open to all students, faculty, and the public.