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DTSTAMP:20261023T031134Z
DTSTART:20261128T080000Z
DTEND:20261128T091500Z
SUMMARY:Concurrent session: Algorithms\, artificial intelligence and algo
 rithmic collusion – can machines conspire and\, if so\, who is liable?
DESCRIPTION:With companies increasingly relying on self-learning models t
 rained on similar public data sets\, tacit collusion between competitors
  is a real risk. This panel will examine the conceptual and evidentiary 
 challenges of proving algorithmic collusion\, the adequacy of existing l
 egal tools and whether new regulatory frameworks are needed.
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