- Algorithmic Accountability Act of 2019
- Dillon Reisman, Jason Schultz, Kate Crawford, and Meredith Whittaker. “Algorithmic impact assessments: A practical framework for public agency accountability,” AI Now Institute (2018)
- Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles (ABOUT ML), Partnership on AI (PAI)
- Bender, Emily M., and Batya Friedman. “Data statements for natural language processing: Toward mitigating system bias and enabling better science,” Transactions of the Association for Computational Linguistics 6 587-604 (2018)
- Mitchell, Margaret, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. “Model cards for model reporting,” In Proceedings of the Conference on Fairness, Accountability, and Transparency, pp. 220-229. ACM,(2019).
- Rigorous Policy Pilots for the Regulatory Review, A Series of Essays, The Regulatory Review (Nov. 2019). See especially –
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Colleen Chien, Rigorous Policy Pilots: Experimentation in the Administration of the Law, 104 Iowa Law Review 2313 (2019)
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Colleen Chien, Rigorous Policy Pilots the USPTO Could Try, Iowa Law Review Online (2019)
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Zach Graves and M. Anthony Mills, Reviving Expertise in a Populist Age, The New Atlantis (Fall 2019) https://www.thenewatlantis.com/publications/reviving-expertise-in-a-populist-age
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Annie Anton, testimony to the Privacy and Civil Liberties Oversight Board, Counterterrorism Privacy Issues and Technology (2014)
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Annie Anton and Peter Swire, “Engineers and Lawyers in Privacy Protection: Can We Just Get Along?” IAPP (2013)
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Peter Swire, Keynote: “A Policy Wonk’s Plea for More and Better Policy Research and Engagement from Computer Scientists,” 2014 Snowbird Conference
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New York City, Automated Decision Systems Task Force report (2019)
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Aaron Fluitt and Alexandra Givens, IMPROVING TECH EXPERTISE IN CONGRESS: TIME TO REVIVE OTA? Strategies for Improving Science and Technology Policy Resources for Congress: Report from June 2018 Policy Workshop
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The Future Has Begun: Using Artificial Intelligence to Transform Government, Partnership for Public Service, IBM Center for the Business of Government
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Joshua A. Kroll, Joanna Huey, Solon Barocas, Edward W. Felten, Joel R. Reidenberg, David G. Robinson & Harlan Yu, Accountable Algorithms, 165 U. Pa. L. Rev. 633 (2017)
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Deirdre K. Mulligan and Kenneth A. Bamberger, Procurement as Policy: Administrative Process for Machine Learning, Berkeley Technology Law Journal (2019)
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Deirdre K. Mulligan and Kenneth A. Bamberger, Saving Governance-by-Design, 106 California Law Review 697 (2018)
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Deirdre K. Mulligan, Joshua A. Kroll, Nitin Kohli, and Richmond Y. Wong, This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology, Proc. ACM Hum.-Comput. Interact. 3, CSCW, (2019)
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Jessica Eaglin, Constructing Recidivism Risk, 67 Emory Law Journal 59 (2017)
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Sheila Jasanoff, The Ethics of Invention, Chap. 8 (2016)
- Alicia Solow-Niederman, Guy Van den Broeck and YooJung Choi, The Institutional Life of Algorithmic Risk Assessment, 33 Berkeley Tech. L.J. (2019)