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98 Denv. L. Rev. 683 (2020-2021)
Beyond the "Black Box"

handle is hein.journals/denlr98 and id is 688 raw text is: BEYOND THE BLACK BOx

CHARLOTTE A. TSCHIDERt
ABSTRACT
As algorithms have become more complex, privacy and ethics
scholars have urged artificial intelligence (AI) transparency for purposes
of ensuring safety and preventing discrimination. International statutes
are increasingly mandating that algorithmic decision-making be ex-
plained to affected individuals when such decisions impact an individu-
al's legal rights, and U.S. scholars continue to call for transparency in
automated decision-making.
Unfortunately, modern Al technology does not function like tradi-
tional, human-designed algorithms. Due to the unavailability of alterna-
tive intellectual property (IP) protections and their often dynamically
inscrutable status, algorithms created by Al are often protected under
trade-secrecy status, which prohibits sharing the details of a trade secret,
lest destroy the trade secret. Furthermore, dynamic inscrutability, the true
black box, makes these algorithms secret by definition: even their crea-
tors cannot easily explain how they work. When mandated by statute, it
may be tremendously difficult, expensive, and undesirable from an IP
perspective to require organizations to explain their Al algorithms. De-
spite this challenge, it may still be possible to satisfy safety and fairness
goals by instead focusing on Al system and process disclosure.
This Article first explains how Al differs from historically defined
software and computer code. This Article then explores the dominant
scholarship calling for opening the black box and the reciprocal
pushback from organizations likely to rely on trade secret protection-a
natural fit for AI's dynamically inscrutable algorithms. Finally, using a
simplified information fiduciary framework, I propose an alternative for
promoting disclosure while balancing organizational interests via public
Al system disclosure and black-box testing.
TABLE OF CONTENTS
INTRODUCTION ..................................................................................... 685
I. EXPLAINING Al IS EXCEPTIONALLY COMPLEX.............................. 689
T  Assistant Professor, Loyola University Chicago School of Law. I would like to thank the
Junior Intellectual Property Scholars Conference participants, the Internet Works in Progress Con-
ference participants, the Law and Technology Workshop participants, and the AALS Intellectual
Property Section's members, especially W. Nicholson Price II, Rachel Sachs, Ana Santos Rutsch-
man, Andrew Michaels, and Lucas Osborn, for their helpful suggestions in the development of this
Article.

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