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51 U.C.D. L. Rev. 399 (2017-2018)
Artificial Intelligence Policy: A Primer and Roadmap

handle is hein.journals/davlr51 and id is 413 raw text is: Artificial Intelligence Policy: A Primer and Roadmap Ryan Calo* TABLE OF CONTENTS 1. BACKGROUND ..................................... ..... 404 A. What Is AI? .......................... ....... 404 B. Where Is AI Developed and Deployed? ..... .............. 406 C. Why AI Policy? ........................ ..... 407 II. KEY QUESTIONS FOR Al POLICY ........................ 410 A. Justice and Equity ............................ 411 1. Inequality in Application............ .............. 411 2. Consequential Decision-Making ............... 413 B. Use of Force ........................... ..... 415 C. Safety and Certification ........................ 417 1. Setting and Validating Safety Thresholds................... 417 2. Certification ................................. 419 3. Cybersecurity ...................... ............ 419 D. Privacy and Power. ..................... ....... 420 1. The Problem of Pattern Recognition ..... ........ 420 2. The Data Parity Problem................ ...... 424 E. Taxation and Displacement of Labor ......... ........ 425 F. Cross-Cutting Questions (Selected) ............ ..... 427 1. Institutional Configuration and Expertise................. 427 2. Investment and Procurement ................... 429 Copyright @ 2017 Ryan Calo. Lane Powell and D. Wayne Gittinger Associate Professor, University of Washington School of Law. The author would like to thank a variety of individuals within industry, government, and academia who have shared their thoughts, including Miles Brundage, Anupam Chander, Rebecca Crootof, Oren Etzioni, Ryan Hagemann, Woodrow Hartzog, Alex Kozak, Amanda Levendowski, Mark MacCarthy, Patrick Moore, Julia Powles, Helen Toner, and Eduard Fosch Villaronga. Thanks also to Madeline Lamo for excellent research assistance and to the editors of the UC Davis Law Review for excellent suggestions. The author is co- director of an interdisciplinary lab that receives funding to study emerging technology, including from the Microsoft Corporation, the William and Flora Hewlett Foundation, and the John D. and Catherine T. MacArthur Foundation. 399

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