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Arvind Narayanan is a Professor of Computer Science at Princeton University and the Director of the Center for Information Technology Policy. He studies the societal impact of digital technologies, especially artificial intelligence (AI). Narayanan is recognized for his contributions to understanding algorithms, biases in machine learning, and the implications of cryptocurrencies. His work includes a notable project on the societal impacts of AI and ongoing publications that critique the relationship between emerging technologies and societal norms. As a leading voice in the field, he has been featured in major publications and recognized on the inaugural TIME 100 AI list. Through his research, he aims to shape public policy and mitigate potential harms associated with technological advancements.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.