Noah Giansiracusa Assistant Professor, Mathematics & Data Science, Bentley University Noah Giansiracusa (PhD in math from Brown University) is an assistant professor of mathematics and data science at Bentley University. Noah’s research interests include algebraic geometry (the abstract study of systems of polynomial equations and their solutions), machine learning (especially topological and geometric data analysis), artificial intelligence, empirical legal studies, phylogenetics, and misinformation. Noah is the author of “How Algorithms Create and Prevent Fake News,” about which Paul Romer, Nobel Laureate and former Chief Economist of the World Bank, said “It’s a joy to read a book by a mathematician who knows how to write… There is no better guide to the strategies and stakes of this battle for the future.” Noah’s public writing appears in Barron’s, Boston Globe, Wired, Slate, and Fast Company, he’s been interviewed in Slate, TechCrunch, Tech Policy Press, and he has been quoted in Washington Post, Financial Times, Forbes, FiveThirtyEight, U.S. News, Agence France-Presse (AFP), and New Delhi TV. Papers / Presentations: The Problems with AI Go Way Beyond Sentience (Barron’s, 2022) Participant In: Coding and the New Human Phenotype October 15-16, 2022 Past Event From the level of DNA to that of phenotype, life may be viewed as an articulation of code. Within such a model, phenotypes are a kind of abstraction of the DNA code. Starting with the genome, the DNA winds its way through RNA, proteins, and cellular process outward into the world beyond, and in the… read more » Coding and the new Human Phenotype: Are Natural Language Generators for Real? October 16, 2022 at 11:00am EST Past Event Watch the video » The program GPT-3 can create language that gives the impression that it is thinking. What will our interaction with robots of greater and greater verbal agility mean in the near future? What sort of Other will these robots become, evolve to? Is awareness of a code incompatible with any form of realism, and what does… read more »
Coding and the New Human Phenotype October 15-16, 2022 Past Event From the level of DNA to that of phenotype, life may be viewed as an articulation of code. Within such a model, phenotypes are a kind of abstraction of the DNA code. Starting with the genome, the DNA winds its way through RNA, proteins, and cellular process outward into the world beyond, and in the… read more »
Coding and the new Human Phenotype: Are Natural Language Generators for Real? October 16, 2022 at 11:00am EST Past Event Watch the video » The program GPT-3 can create language that gives the impression that it is thinking. What will our interaction with robots of greater and greater verbal agility mean in the near future? What sort of Other will these robots become, evolve to? Is awareness of a code incompatible with any form of realism, and what does… read more »