AI, Cyber Law & Technology Policy

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AI, Cyber Law & Technology Policy

AI Law

Suggested Readings — AI Law

AI & Labor

AI & Criminal Justice

AI Law

AI & Elections

AI, National Security & War

Introductory Materials to AI Law

• Ryan Calo, Artificial Intelligence Policy: A Primer and Roadmap (2017)
• Jack M. Balkin, The Three Laws of Robotics in the Age of Big Data, 78 Ohio St. L.J. (2017)
• P.M. Asaro, Robots and Responsibility from a Legal Perspective (2007)
• Future of Life Institute (2015),“A survey of research questions for robust and beneficial AI.”
• Russell, Stuart (2016) “Q&A: The Future of Artificial Intelligence.” University of Berkeley
• White House OSTP, Preparing for the Future of Artificial Intelligence (2016)

Applications of AI to Criminal Justice

• Lauren Kirchner, Julia Angwin, Jeff Larson & Surya Mattu, Machine Bias: There’s Software Used Across the Country to Predict Future Criminals. And It’s Biased Against Blacks, ProPublica, 2016
• Data & Civil Rights Conference – Courts and Predictive Algorithms Session
  Primer
• Dawinder S. Sidhu, Moneyball Sentencing, 56 B.C. L. Rev. 671 (2015)
  John L. Koepke & David G. Robinson, Zombie Predictions and the Future of Bail Reform (September 22, 2017)
• ProPublica COMPAS Full Dataset
  ProPublica COMPAS iPython Notebook Analysis
• Criminal Law – Sentencing Guidelines – Wisconsin Supreme Court Requires Warning before Use of Algorithmic Risk Assessments in Sentencing -State v. Loomis 881 N.W.2d 749 (Wis. 2016), 130 Harv. L. Rev. 1530 (2017)
• Alexandra Chouldechova, Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments, (2016)

Bias, Transparency and Accountability

• Kate Crawford The Hidden Biases of Big Data, Harvard Business Review, April 1 2013
• Batya Friedman & Helen Nissenbaum, Bias in computer systems, ACM Transactions on Information Systems (1996)
• Paul de Laat, Big data and algorithmic decision-making: can transparency restore accountability? 47 SIGCAS Computers and Society 39 (2017).
• Bryce Goodman & Seth Flaxman, European Union regulations on algorithmic decision-making and a “right to explanation” ICML Workshop on Human Interpretability in Machine Learning (2016).
• Joshua A. Kroll et al., Accountable Algorithms, 165 U. Pa. L. Rev. 633 (2017)
• Robert H. Sloan & Richard Warner, When Is an Algorithm Transparent?: Predictive Analytics, Privacy, and Public Policy (October 12, 2017).
• Cliff Kuang, Can A.I. Be Taught to Explain Itself?, The New York Times Magazine (Nov. 21, 2017)

AI and Elections

• Jonathan L. Zittrain, Engineering an Election, 127 Harv. L. Rev. F. 335 (2014)
• Samuel C. Woolley and Douglas R. Guilbeault, Computational Propaganda in the United States of America: Manufacturing Consensus Online, Computational Propaganda Research Project, University of Oxford (2017)
• Dirk Helbing et. al., Will Democracy Survive Big Data and Artificial Intelligence? Scientific
  American (2017) 
• Hunt Allcott & Matthew Gentzkow, Social Media and Fake News in the 2016 Election, 31 J. of Econ.Perspectives 211(2017)
• Samantha Bradshaw and Philip N. Howard, Troops, Trolls and Troublemakers: A Global Inventory of Organized Social Media Manipulation, Computational Propaganda Research Project, University of Oxford (2017)
• Vyacheslav Polonskil, Artificial Intelligence Has the Power to Destroy or Save Democracy, Council on Foregin Relations (Aug. 7, 2017)

Discrimination, Manipulation & Due Process

• Danielle Keats Citron & Frank A. Pasquale, The Scored Society: Due Process for Automated Predictions, 89 Wash. L. Rev. 1 (2014)
• Solon Barocas and Andrew D. Selbst, Big Data’s Disparate Impact, 104 Calif. L. Rev. 671 (2016)
• Anupam Chander, The Racist Algorithm? 115 Michigan Law Review
• FairML – Auditing Black-Box Predictive Models
• Christian Sandvig et al., Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms, Data and Discrimination: Converting Critical Concerns into Productive Inquiry Conference (2014)
• Tal Z. Zarsky, Understanding Discrimination in the Scored Society 89 Wash. L. Rev. 1375 (2014)

AI and Labor

• Martin Ford, The Rise of the Robots: Technology and the Threat of a Jobless Future (2016)
• McKinsey. Jobs Lost, Jobs Gained: Workforce Transitions In a time of Automation (December
  2017)
• Erik Brynjolfsson and Andrew McAfee, Human Work in the Robotic Future: Policy for the Age of Automation, Foreign Affairs, July/August 2016
• Abbott, Ryan and Bogenschneider, Bret N., Should Robots Pay Taxes? Tax Policy in the Age of
  Automation (March 13, 2017), Harvard Law & Policy Review
• Daron Acemoglu & Pascual Restrepo, Robots and Jobs: Evidence from Us Labor Markets (MIT
  Department of Economics Working Paper No. 17-04, March 2017)
• Osonde A. Osoba & William Welser IV, The Risk of Artificial Intelligence to Security and the Future of Work

Internet of Things

• Eric A. Fischer, The Internet of Things: Frequently Asked Questions (2015)
• Steven I. Friedland, Drinking from the Fire Hose: How Massive Self-Surveillance from the Internet of Things Is Changing the Face of Privacy, 119 W. Va. L. Rev. 891 (2017)
• Vagle, Jeffrey L., Cybersecurity and Moral Hazard (October 21, 2017)
• Butler, Alan, Products Liability and the Internet of (Insecure) Things: Should Manufacturers Be Liable for Damage Caused by Hacked Devices? (April 19, 2017). University of Michigan Journal of Law Reform
• Marie-Helen Maras, Internet of things: Security and privacy implications, 5 International Data Privacy Law 99 (2015)
• Hillary Brill & Scott Jones, Little Things and Big Challenges: Information Privacy and the Internet of Things, 66 Am. U. L. Rev. 1183 (2017)

AI, National Security and War

• Harvard Kennedy School, Artificial Intelligence and National Security (2017)
• Autonomous Weapons: an open letter from AI & Robotics Researchers
  Rebecca Crootof, The Killer Robots Are Here: Legal and Policy Implications, 36 Cardozo L. Rev. 1837 (2015)
• M. L. Cummings, Artificial Intelligence and the Future of Warfare, International Security
  Department and US and the Americas Programme (2017)
• Tom Simonite, AI Could Revolutionize War as much as Nukes, Wired (Jul. 19, 2017)
• Gregory C. Allen, China’s Artificial Intelligence Strategy Poses a Credible Threat to U.S. Tech Leadership, Council on Foreign Relations, (Dec. 4, 2017)