Roboticized Democracies: Bayesian Statistics, Machine Learning and Our Future Democracies | Raul Jimenez, Univ. of Barcelona

Date: 

Friday, March 27, 2020, 1:30pm to 2:30pm

Location: 

Harvard University, Maxwell Dworkin G115, 33 Oxford Street, Cambridge MA

IACS seminars are free and open to the public; no registration required. Lunch will not be provided.

Abstract: Having overcome the worst effects of the Great Recession unleashed in 2007-08, our democracies remain at a critical juncture. The analytical context of this talk is the Western Hemisphere but the implications of the ongoing changes affect the global order. Above any other consideration, robotization implies long-term structural changes with far reaching consequences for democracy. This fourth technological revolution (Industry 4.0) has strengthened the autonomy of corporations and has empowered technostructure. Automation and the extensive use of internet are intensifying the progressive applications of the artificial intelligence (AI) and are set to further encourage productive maximization. Eventually, these ongoing processes will make superfluous many of the existing jobs. Shall we live a democratic future as we have known it until now? Will it be different because of the technological changes under way? What repercussions will they have for human relations? This talk describes in detail the applications of robotization and IA. In particular, the technical tools (Bayesian statistics, machine learning and quantum computing) that will rule our societies in the future decades. This talk is based on Dr. Jimenez's recent book https://amzn.to/2r6wRuO.

BIO: Cosmologist and theoretical astrophysicist, Dr. Jimenez is the ICREA Professor in Cosmology at the Institute of Cosmos Sciences (ICCUB) at the University of Barcelona, and Distinguished Visiting Professor of the Imperial College in London. A graduate of the Autonomous University of Madrid he received his PhD at the Niels Bohr Institute of the University of Copenhagen. Dr. Jimenez has been a researcher at the Royal Observatory of the University of Edinburgh and professor of Physics and Astronomy at Rutgers University and the University of Pennsylvania. His research is focused on the study of the origin and evolution of the universe. An expert in advanced statistical methods, he has contributed to the development of original techniques for cosmological data analyses. Recently, he has been Radcliffe Fellow at the Institute of Advanced Studies of the University of Harvard.

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