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2023 U. Ill. J.L. Tech. & Pol'y 1 (2023)

handle is hein.journals/jltp2023 and id is 1 raw text is: 











MALPRACTICE BY THE AUTONOMOUS Al

PHYSICIAN


                                                          Mindy   Nunez  Duffourct


                                      Abstract
      AI  is currently  capable  of making   autonomous medical decisions, like
diagnosis   and  prognosis,   without   the  input  of humans. Liability for this
practice  of medicine   by an Autonomous AI Physician currently falls in a tort
law  gap when   it cannot be sufficiently connected to humans   involved with the AI
because   neither human-centric   nor  product-centric  causes  of action provide  a
mechanism for recovery. To fill this liability gap, this Article proposes a
framework that governs liability under existing tort law by focusing on control
of the AI's  injury-causing  output  to assign liability to creators, organizations,
individual  providers,   and  the Autonomous AI Physician with limited legal
personhood. Other scholars have suggested bridging this gap by either
assigning  all tort liability to humans or circumventing  tort law altogether. These
approaches either subvert tort law's primary goals, require significant
structural change,  or offer only a piecemeal  solution to the problem.  The control
framework laid out in this Article provides a functional and comprehensive
solution for governing  injuries caused  by the Autonomous   AI Physician   that both
balances   the benefits and  risks of technological  innovation   in healthcare  and
advances   tort law 's compensation  and  deterrence  goals.






     f  Acting Assistant Professor of Lawyering & Consultant for MS Health Law & Strategy Degree
Program, New York University Law School; Postdoctoral Fellow for Project CLASSICA: Validating Al in
classifying cancer in real-time surgery, Penn State Dickinson Law. Mindy Duffourc reports grant funding from
the European Union (Grant Agreement no. 101057321).
        I'm grateful to Catherine Sharkey for moderating a discussion of an outline of this paper and providing
feedback that helped me wrangle an idea into an article. Many more thanks to the following colleagues at NYU,
who took time to read and comment on this article at some point (or for some, at all points) during its long
journey: Anna Arons, Edith Beerdsen, Tyler Rose Clemons, Haiyun Damon-Feng, Dorien Ediger-Seto,
Madeleine Gyory, Brandon Johnson, Alba Morales, Britta Redwood, Faraz Sanei, Jason Schultz, Naveen
Thomas, and Katherine Wood. I'm also incredibly grateful to Sara Gerke, who not only immediately answered
my cold call (email) but provided several rounds of detailed feedback on this article. I'm also incredibly grateful
to the organizers and participants at this year's Seton Hall Health Law Works-in-Progress Retreat, and especially
to my panel discussants, Ryan Abbott, Mason Marks, and Charlotte Tschider for throwing some functional and
insightful wrenches into my near-final manuscript, which made this final draft better than the last final draft.
And last but not least, I'm grateful to my anonymous peer-reviewers and the entire team at Illinois JLTP,
especially Kevin Cassato and Molly Lindsey, for their work in getting this article to publication.


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