Work

Research

The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice, Emily Black,* Miranda Bogen,* Logan Koepke,* Solon Barocas, Wesley Deng, Ming Hsu. 2026 ACM Conference on Fairness, Accountability, and Transparency. (*equal contribution)
Less Discriminatory Algorithms On the Ground: An Empirical Account of Fair Lending Programs (in progress), John Logan Koepke, Emily Black, Solon Barocas, Ming Hsu, Miranda Bogen, Wesley Deng. Presented at the 2026 ACM Symposium on Computer Science and Law, non-archival.
The Legal Duty to Search for Less Discriminatory Algorithms, Emily Black,* John Logan Koepke,* Pauline Kim, Solon Barocas, Ming Hsu. Presented at the 2024 ACM Conference on Fairness, Accountability, and Transparency (2024) (*equal contribution)
Less Discriminatory Algorithms. Emily Black,* John Logan Koepke,* Pauline Kim, Solon Barocas, Ming Hsu. Georgetown Law Journal (2024) (*equal contribution)
Mass Extraction: The Widespread Power of US Law Enforcement to Search Mobile Phones, Logan Koepke, Emma Weil, Urmila Janardan, Tinuola Dada, Harlan Yu. (2020)
Civil Rights and Pretrial Risk Assessment Instruments, David Robinson and Logan Koepke. (2019)
Danger Ahead: Risk Assessment and the Future of Bail Reform, Washington Law Review, John Logan Koepke and David Robinson, Washington Law Review (2018)
Stuck in a Pattern: Early Evidence on “Predictive Policing” and Civil Rights, David Robinson and Logan Koepke (2016)
Led Astray: Online Lead Generation and Payday Loans, Aaron Rieke and Logan Koepke (2015)

Other writing and advocacy

Comments on OMB’s proposed AI Memorandum (Dec. 2023)
Letter to the Department of Justice on Comprehensive Use of Civil Rights Authorities to Prevent and Combat Algorithmic Discrimination (Aug. 2023)
Letter to the Biden-Harris Administration on their forthcoming AI Executive Order (Aug. 2023)
Letter to the FTC on Commercial Surveillance and Data Security Rulemaking (Jun. 2023)
Learning from the History of Regulation B and the Collection of Demographic Data (Feb. 2023)
Measurement, Discrimination, and Large Technology Companies (Jan. 2023)
National Telecommunications and Information Administration Comments on Privacy, Equity, and Civil Rights (Mar. 2023)
Comments on the FTC's Proposed Rulemaking on Commercial Surveillance and Data Security (Nov. 2022)
Amicus Brief, State v. Smith, Connecticut State Supreme Court, Logan Koepke (2022)
Amicus Brief, Henderson v. Source for Public Data, 4th Circuit. Aaron Rieke, Natasha Duarte, Urmila Janardan, and Logan Koepke (2021).
Amicus Brief, US v. Morton, 5th Circuit en banc, Logan Koepke, Emma Weil, and Tinuola Dada (2021)
Amicus Brief, Commonwealth v. Green, Pennsylvania Supreme Court, Logan Koepke Emma Weil, Tinuola Dada (2021)
Amicus Brief, Liapes v. Facebook, California Superior Court, Aaron Rieke, Natasha Duarte, and Logan Koepke (2021)
Amicus Brief, State of New Jersey v. Pickett, Superior Court of New Jersey, Emily Paul, Logan Koepke, Urmila Janardan, Aaron Rieke, and Natasha Duarte (2020)
Amicus Brief, Van Buren v. US, United States Supreme Court, Aaron Rieke, Natasha Duarte, Sarika Ram, and Logan Koepke (2020)
Amicus Brief, Opiotennione v. Facebook, US District Court, Northern District of California, Aaron Rieke, Natasha Duarte, and Logan Koepke (2020)
Amicus Brief, Philadelphia Community Bail Fund v. Arraignment Court Magistrates of the First Judicial District of Pennsylvania, Pennsylvania Supreme Court, Logan Koepke (2020)
Amicus Brief, Onuoha v Facebook, US District Court, Northern District of California, Aaron Rieke, Natasha Duarte, and Logan Koepke (2018)
Comments to California Judicial Council on S.B. 10 and Pretrial Risk Information. (Dec. 2018)

Speaking

University of Washington School of Law (Feb. 2025)
Cornell Law School (Feb. 2025)
UC Berkeley School of Information, Algorithmic Fairness and Opacity Group (Sept. 2024)
NeurIPS Tutorial (Dec. 2023)
The White House (Nov. 2023)
Barnard College, Columbia University (Sept. 2023)
Fordham School of Law, (Sept. 2023)
National Association of Criminal Defense Lawyers (May 2022)
Oregon State Criminal Bar CLE (Apr. 2022)
Investor Alliance for Human Rights (Oct. 2021)
National Association of Criminal Defense Lawyers (Oct. 2021)
Partnership on AI (Sept. 2019)
Washington State Supreme Court, Minority & Justice Commission (May 2019)
University of California, Berkeley (March 2019)
Seattle University Law School (Mar. 2019)
University of Washington School of Law (Feb. 2019)
The Atlantic Race + Justice Summit (Oct. 2018)
New York State Justice Task Force (Jun. 2018)
Citizen Lab, Law Commission of Ontario, and International Human Rights Program at the University of Toronto (Mar. 2018)
George Washington University Law School (Mar. 2018)
North Carolina State University (Mar. 2018)
Yale Law School (Feb. 2018)
Northwestern Pritzker School of Law (Nov. 2017)
Data & Society Research Institute (Nov. 2017)
Harvard Law School (Oct. 2017)
Northwestern Pritzker School of Law (Nov. 2016)
Northwestern University (Nov. 2016)

Professional Service

Area Chair, ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) (2026)
Program Committee, ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), Areas: Law & Policy, Audits and evaluation practices. (2024, 2025)
Ethics Reviewer, Conference on Neural Information Processing Systems. (2021-2024)
Faculty, “Trial Skills Workshop / Crimes Decoded: Emerging Digital Technology Litigation Strategies,” Administrative Office of the U.S. Courts, Defender Services Office Training Division. (2021, 2022)
Faculty, “Trial Skills Workshop / Crimes Decoded: Emerging Digital Technology Litigation
Contributor, A Toolkit for Centering Racial Equity Throughout Data Integration, Actionable Intelligence for Social Policy, University of Pennsylvania (2020)
Judge, Georgetown Law Technology Review Student Writing Competition (2019)
Co-director, Pretrial Risk Management Project of the John D. and Catherine T. MacArthur Foundation. (2018-2020)
Contributor, Report on Algorithmic Risk Assessment Tools in the U.S. Criminal Justice System, Partnership on AI. (2019)
Contributor, First, Do No Harm: Ethical Guidelines for Applying Predictive Tools Within Human Services, MetroLab Network. (2017)