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71 Ark. L. Rev. 529 (2018-2019)
Bots, Bias and Big Data: Artificial Intelligence, Algorithmic Bias and Disparate Impact Liability in Hiring Practices

handle is hein.journals/arklr71 and id is 549 raw text is: 
















BOTS,   BIAS   AND   BIG   DATA:


ARTIFICIAL INTELLIGENCE, ALGORITHMIC BIAS AND
DISPARATE IMPACT LIABILITY IN HIRING PRACTICES*


                      I. INTRODUCTION


     With   artificial intelligence, we are summoning the demon.
You   know all those stories where there's the guy with the
pentagram   and  the holy  water  and  he's like, yeah, he's  sure he
can  control  the  demon? Doesn't work out.' While this is
perhaps dramatic, many Americans share Elon Musk's
underlying   anxieties  about   artificial intelligence's  increasing
proliferation into everyday   life.2 However,  few  realize the depth
of   artificial intelligence's  involvement in mundane daily
activities.3  Fewer   than  half  of Americans are aware of the
existence of computer programs that can review job




    * The author sincerely thanks Danielle Weatherby, Associate Professor of Law,
University of Arkansas School of Law, for her thoughtful guidance throughout the drafting
and editing this comment. The author also thanks Amanda Beth Hurst, Visiting Professor
of Law, University of Arkansas School of Law, Lucas Sheets, Clay Sapp, Pete Brunson,
Lacey Johnson, Ryan Smith, and fellow staff editors of the Arkansas Law Review for their
encouragement and attention to detail throughout the drafting and editing process. The
author would also like to thank Dr. Trisha Posey, Associate Professor of History, Dr.
Robert Moore, Associate Professor of History, and Dr. Preston Jones, Professor of History,
John Brown University, for teaching the author to approach research and writing with
excellence and humility. Finally, the author would like to thank her family for their
unwavering encouragement and support.
    1. Maureen Dowd, Elon Musk's Future Shock, VANITY FAIR, Apr. 2017, at 116,
119.
    2. Aaron Smith & Monica Anderson, Automation in Everyday Life, PEW RES. CTR.
(Oct. 4,  2017), http://www.pewinternet.org/2017/10/04/automation-in-everyday-life/
[https://perma.cc/3A3J-7J5A].
    3. See Gautam Narula, Everyday Examples of Artificial Intelligence and Machine
Learning, TECH EMERGENCE (Mar. 29, 2018), https://www.techemergence.com/everyday-
examples-of-ai/ [https://perma.cc/MRK4-M5NK).

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