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2017 U. Ill. L. Rev. 1775 (2017)
Artificial Intelligence & Collusion: When Computers Inhibit Competition

handle is hein.journals/unilllr2017 and id is 1816 raw text is: 








ARTIFICIAL INTELLIGENCE &

COLLUSION: WHEN COMPUTERS
INHIBIT COMPETITION

                                                        Ariel Ezrachi*
                                                   Maurice  E. Stucke*


       The  development  of self-learning and independent computers
  has long captured our imagination. The HAL   9000 computer,  in the
  1968 film, 2001: A Space Odyssey, for example, assured, I am put-
  ting myself to the fullest possible use, which is all I think that any con-
  scious entity can ever hope to do. Machine   learning raises many
  challenging legal and ethical questions as to the relationship between
  man  and  machine, humans'  control-or  lack of it-over  machines,
  and accountability for machine activities.
       While  these issues have long captivated our interest, few would
  envision the day when  these developments (and the legal and ethical
  challenges raised by them) would become an antitrust issue. Sophisti-
  cated computers  are central to the competitiveness of present and fu-
  ture markets. With the accelerating development of AI, they are set to
  change  the competitive landscape and the nature of competitive re-
  straints. As pricing mechanisms shift to computer pricing algorithms,
  so  too will the types of collusion. We are shifting from the world
  where  executives expressly collude in smoke-filled hotel rooms to a
  world  where pricing algorithms continually monitor  and adjust to
  each other's prices and market data.
       Our  paper addresses these developments and  considers the ap-
  plication of competition law to an advanced computerised trade en-
  vironment.  After discussing the way in which computerised technol-
  ogy  is changing the competitive landscape, we explore four scenarios
  where  AI can foster anticompetitive collusion and the legal and ethi-
  cal challenges each scenario raises.



    *  Slaughter and May Professor of Competition Law, The University of Oxford; Director, Ox-
ford University Centre for Competition Law and Policy.
   **  Professor, University of Tennessee College of Law; Co-founder, Data Competition Institute.
We would like to thank for their helpful comments, the participants at the Oxford University Centre
for Competition Law and Policy's Round Table Discussion on Information Exchange and Market
Transparency, Participants at the Bar Ilan University conference on Fairness in Antitrust, Greg Taylor
and members of the Oxford Internet Institute.


1775

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