
Sterling Chance Williams-Ceci & Matt Franchi
Cornell Tech
DLI Double-Header: Biased AI Writing Assistants Shift Users' Attitudes on Societal Issues
Abstract
Full abstracts coming soon! The Digital Life Seminar series offers students and guests an opportunity to engage actively with leading scholars and practitioners researching and responding to the development and application of digital technologies.
About
Sterling Williams-Ceci is a PhD Candidate in information Science at Cornell Tech, co-advised by Michael Macy and Mor Naaman. Her research focuses on unveiling unintended and undesirable effects of algorithmic technologies on our attitudes and beliefs. She hopes to gain insight into theoretical risks of AI use to study these risks empirically, and to learn about ways to maintain ethics when studying these risks with human subjects.
Matt Franchi is a Computer Science PhD Candidate at Cornell University, based at the New York City campus, Cornell Tech. Before that, he completed a Bachelor's Degree in Computer Science and General & Departmental Honors curricula at the Clemson University Honors College (during the pandemic, unfortunately). His research has been supported by the Cornell Tech Urban Tech Hub, the Cornell Dean's Excellence Fellowship, the Siegel PiTech PhD Impact Fellowship, and the Digital Life Initiative Doctoral Fellowship.