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Arvind Narayanan    

Computer Science Professor at Princeton & Expert on Digital Technologies; Author of "AI Snake Oil"

Arvind Narayanan is a professor of computer science at Princeton University and the director of the Center for Information Technology Policy. He is a co-author of the book "AI Snake Oil" and a newsletter of the same name which is read by 40,000 researchers, policy makers, journalists, and AI enthusiasts. He previously co-authored two widely used computer science textbooks: "Bitcoin and Cryptocurrency Technologies" and "Fairness in Machine Learning."

Narayanan led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. His work was among the first to show how machine learning reflects cultural stereotypes, and his doctoral research showed the fundamental limits of de-identification. Narayanan was one of TIME's inaugural list of 100 most influential people in AI. He is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE).

Speech Topics


The Reproducibility Crisis in Machine Learning-based Science

AI for Law: Freight Train or Hype Train?

Generative AI: The Good, The Bad and the Precarious Edges

Resistance or Harm Reduction?

News


Decoding the Hype About AI
In 2019, Arvind Narayanan gave a talk at MIT called “How to recognize AI snake oil” that laid out a taxonomy of AI from legitimate to dubious. To his surprise, his obscure academic talk went viral, and his slide deck was downloaded tens of thousands of times; his accompanying tweets were viewed more than two million times.

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