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SUMMARY:Raphael Koster (Deepmind)
DTSTART:20220209T170000Z
DTEND:20220209T180000Z
DTSTAMP:20260417T105856Z
UID:Metagov/86
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/Metagov/86/"
 >Human-centered mechanism design with Democratic AI</a>\nby Raphael Koster
  (Deepmind) as part of Metagovernance Seminar\n\n\nAbstract\nBuilding arti
 ficial intelligence (AI) that aligns with human values is an unsolved prob
 lem. Here\, we developed a human-in-the-loop research pipeline called Demo
 cratic AI\, in which reinforcement learning is used to design a social mec
 hanism that humans prefer by majority. A large group of humans played an o
 nline investment game that involved deciding whether to keep a monetary en
 dowment or to share it with others for collective benefit. Shared revenue 
 was returned to players under two different redistribution mechanisms\, on
 e designed by the AI and the other by humans. The AI discovered a mechanis
 m that redressed initial wealth imbalance\, sanctioned free riders\, and s
 uccessfully won the majority vote. By optimizing for human preferences\, D
 emocratic AI may be a promising method for value-aligned policy innovation
 .\n
LOCATION:https://researchseminars.org/talk/Metagov/86/
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