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URL:https://lectures.london/imperial-college/the-dennis-gabor-lecture-2026
 -a-collectivist-economic-perspective-on-ai-with-professor-michael-i-jordan
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DTSTAMP:20261114T124315
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SUMMARY:The Dennis Gabor Lecture 2026: A collectivist\, economic perspecti
 ve on AI – with Professor Michael I Jordan
LOCATION:Imperial College: G16 \, Sir Alexander Fleming Building
DESCRIPTION:About the Dennis Gabor Lecture\nThe Dennis Gabor Lecture is a 
 Department of Electrical and Electronic Engineering flagship event\, hono
 uring Dennis Gabor\, the inventor of holography. The lecture series focuse
 s on the impact of science and engineering on society.\nThis year\, we wel
 come Professor Michael I. Jordan\, Inria Paris and the University of Calif
 ornia\, Berkeley. Professor Jordan has been a leading researcher in comput
 er science and statistics for over four decades. He is a member of the US 
 National Academy of Sciences\, a Foreign Member of the Royal Society and a
  Foreign Member of the Chinese Academy of Sciences.\nAgenda:\n\n15:30 Rese
 arch Poster Session with Refreshments \n16:30 Lecture\n17:15 Question and 
 Answer Session\n17:45 Further Refreshments and Posters\n19:00 Close\n\nThe
  2026 Dennis Gabor Lecture: A Collectivist\, Economic Perspective on AI\nA
 bstract: Information technology is in the midst of a revolution in which o
 mnipresent data collection and machine learning are impacting the human wo
 rld as never before.  The word “intelligence” is being used as a Nort
 h Star for the development of this technology\, with human cognition viewe
 d as a baseline.  \nThis view neglects the fact that humans are social an
 imals\, and that much of our intelligence is social and cultural in origin
 .  Thus\, a broader framing is to consider the system level\, where the a
 gents in the system\, be they computers or humans\, are active\, they are 
 cooperative\, and they wish to obtain value from their participation in le
 arning-based systems.  Agents may supply data and other resources to the 
 system only if it is in their interest to do so\, and they may be honest a
 nd cooperative only if it is in their interest to do so.  Critically\, in
 telligence inheres as much in the overall system as it does in individual 
 agents.  In the overall system\, computation of equilibria replaces compu
 tation of optima.  \nThis is a perspective that is familiar in economics\
 , although without the focus on learning algorithms.  A key challenge is 
 thus to bring (micro)economic concepts into contact with foundational issu
 es in the computing\, statistical\, and decision-making sciences.  I‘ll
  discuss some concrete examples of problems and solutions at this triparti
 te interface.
URL;VALUE=URI:https://www.imperial.ac.uk/events/214455/gabor2026/
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