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URL:https://lectures.london/london-school-of-economics/a-collectivist-econ
 omic-perspective-on-ai/calender.ics
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UID:34bbb640-ad25-4f93-8d16-59ad30a46789
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DTSTAMP:20261020T103935
DTSTART:20261021T173000
DTEND:20261021T184500
SUMMARY:A collectivist\, economic perspective on AI
LOCATION:London School of Economics: In-person and online public event (Ol
 d Theatre\, Old Building)
DESCRIPTION:Wednesday 21 October 2026 6.30pm - 7.45pmSpeakerProfessor Mich
 ael JordanDiscussantProfessor Maximilian KasyChairProfessor Milan Vojnovi
 ćSo much of the recent focus of artificial intelligence (AI) has been on 
 the quest to use massive data to build a single autonomous machine or agen
 t that mimics and augments the human mind. And we only tend to think about
  AI on that one level – AI as single machine or agent.In this public lec
 ture\, University of California\, Berkeley Distinguished Professor Emeritu
 s Michael I. Jordan argues for the value of considering AI on two levels s
 imultaneously: not just as the single machine or agent\; but also the ‘c
 ollective’ - the network of people\, machines\, institutions\, markets\,
  incentives\, and interactions in which the machine or agent operates.Join
  us as we explore how the social and cultural nature of human intelligence
  points to a need for AI research to integrate computational and inferenti
 al ideas with economic and social concepts.Meet our speaker and chairMicha
 el I Jordan is a Director of Research at Inria Paris\, and a Distinguished
  Professor Emeritus at the University of California\, Berkeley. He has bee
 n a leading researcher in computer science and statistics for over four de
 cades. He is a member of the US National Academy of Sciences\, a Foreign M
 ember of the Royal Society\, and a Foreign Member of the Chinese Academy o
 f Sciences.Maximilian Kasy is a Professor of Economics at the University o
 f Oxford. He received his PhD from UC Berkeley and has held appointments a
 t UCLA and Harvard University. His research interests include economic ine
 quality\, job guarantee programs\, and basic income\, as well as the inter
 section of machine learning and economics. He coordinates the Machine Lear
 ning and Economics Group at Oxford and teaches a course on foundations of 
 machine learning.Milan Vojnovic is Head of Department in the Department of
  Statistics at LSE. His research focuses on machine learning and optimisat
 ion\, involving the development of novel algorithms and the analysis of th
 eir theoretical guarantees to support the design of efficient intelligent 
 systems. He has made significant contributions to scalable optimisation me
 thods for machine learning\, multi-armed bandits\, multi-agent systems\, a
 lgorithms under uncertainty\, game theory\, and network system control and
  optimisation.More about this eventJoin us on campus or register to watch 
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  with cutting- edge specialisms in AI\, data science\, probability in fina
 nce and insurance\, social statistics\, time series and statistical learni
 ng\, and more. We produce cutting-edge research in developing new statisti
 cal and data science methods and their theoretical foundations\, and apply
  these to new forms of social\, economic and health data\, addressing real
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URL;VALUE=URI:https://www.lse.ac.uk/events/economic-perspective-on-ai
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