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Sterling Williams-Ceci
Doctoral Fellow
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.
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