AI as Normal Technology with Arvind Narayanan
PIT Faculty Fellows' AI Speaker Series
Content
Arvind will be joining us over zoom and we have a room in the new computer science building where participants can gather to watch and participate in person. Register to attend here and let us know if you will be in-person or online.
In this talk, based on an essay and ongoing book project with Sayash Kapoor, Arvind Narayanan will articulate a vision of artificial intelligence as “normal technology,” in contrast to both utopian and dystopian visions that treat AI as a potentially superintelligent entity. Our framework predicts that the impacts of advanced AI, even if transformative, will unfold slowly, making a critical distinction between AI methods, AI applications, and AI adoption. I will discuss a potential division of labor between people and AI in the world with advanced AI and examine the implications of AI as normal technology for AI policy, AI safety, and human progress.
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, the essay AI as Normal Technology, and a newsletter of the same name which is read by over 60,000 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. 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).
Presented by the Public Interest Technology Initiative at UMass and co-sponsored by the College of Social and Behavioral Sciences AI and Us Series