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Arvind Narayanan is a Professor of Computer Science at Princeton University, where he also serves as the Director of initiatives focusing on the societal impact of digital technologies, particularly artificial intelligence (AI). His work critically examines the implications of AI and machine learning, highlighting their limitations and biases across various contexts. He has been recognized for his contributions to the field, including being named on the inaugural TIME 100 AI list, and is actively involved in shaping public discourse on technology policy. Narayanan's research interests span algorithmic accountability, the ethical implications of machine learning, and the socio-political impacts of cryptocurrencies. He co-authored a textbook on fairness in machine learning and has developed significant educational resources that have been adopted in courses worldwide. His ongoing projects include a book examining the dangers of predictive decision-making and the reproducibility crisis in science, both of which are grounded in years of rigorous research.
Princeton University • Princeton, NJ
Teaches and conducts research on the societal impacts of artificial intelligence and digital technologies.
Columbia University Knight Institute • New York, NY
Studied algorithms and their effects on speech and information dissemination.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.