Arvind Narayanan
Arvind Narayanan is a professor of computer science at Princeton University and the director of the Center for Information Technology Policy. He co-authored a textbook on fairness and machine learning and is currently co-authoring a book on AI snake oil. He 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 is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), twice a recipient of the Privacy Enhancing Technologies Award, and thrice a recipient of the Privacy Papers for Policy Makers Award.
Narayanan was the Knight First Amendment Institute’s 2022-2023 visiting senior research scientist. He carried out a research project on algorithmic amplification on social media and hosted a major conference on the topic in Spring 2023.
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Deep Dive : Toward a Better Internet
We Looked at 78 Election Deepfakes. Political Misinformation Is Not an AI Problem.
Technology isn’t the problem—or the solution.
By Sayash Kapoor & Arvind Narayanan -
Deep Dive : Toward a Better Internet
A Safe Harbor for AI Evaluation and Red Teaming
An argument for legal and technical safe harbors for AI safety and trustworthiness research
By Shayne Longpre , Sayash Kapoor , Kevin Klyman , Ashwin Ramaswami , Rishi Bommasani , Arvind Narayanan , Percy Liang & Peter Henderson -
Deep Dive : Algorithmic Amplification and Society
Generative AI companies must publish transparency reports
The debate about AI harms is happening in a data vacuum.
By Arvind Narayanan & Sayash Kapoor -
Essays and Scholarship
How to Prepare for the Deluge of Generative AI on Social Media
A grounded analysis of the challenges and opportunities
By Sayash Kapoor & Arvind Narayanan -
Quick Take : Algorithmic Amplification and Society
Introducing Visualizing Virality
Illustrating and investigating virality and demotion on Twitter
By Arvind Narayanan -
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Essays and Scholarship
Understanding Social Media Recommendation Algorithms
Towards a better informed debate on the effects of social media
By Arvind Narayanan -
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Deep Dive : Algorithmic Amplification and Society
TikTok’s Secret Sauce
TikTok’s algorithm is ordinary. Its real innovation is something else.
By Arvind Narayanan -
Deep Dive : Algorithmic Amplification and Society
How To Train Your TikTok
Simple ways to better navigate the platform’s ocean of video content
By Arvind Narayanan -
Institute Update : Algorithmic Amplification and Society
Call for Participation: Optimizing for What? Algorithmic Amplification and Society
The Knight Institute invites submissions for its spring symposium, April 27-28, 2023, at Columbia University
By Arvind Narayanan & Katy Glenn Bass -