Associate Professor of Law
- Law, Algorithms, and Justice
- JD, magna cum laude, Harvard Law School
- BA, cum laude, Boston College
Colin Doyle joined the Loyola Law School faculty in 2022. His research examines the relationship between criminal law, race, and emerging technology, particularly machine learning and artificial intelligence. Some of his work explores how overlooked features of new technology can challenge longstanding beliefs and practices within constitutional law, criminal law, and criminal procedure. Other research critiques traditional frameworks of authority in automated legal systems, exploring how machine learning could be used to study and surveil the powerful rather than the marginalized. He has a particular focus on decisions at the periphery of criminal adjudication, including bail setting and fees and fines determinations.
His scholarship has appeared in the ACM Conference on Fairness, Accountability, and Transparency, the Journal of Criminal Law and Criminology, and the Duke Law Journal Online. His research has been cited in federal and state court decisions, including the California Supreme Court's landmark decision, In re Humphrey, that found the state's money bail practices to be unconstitutional. Doyle also writes about law and technology for a broader public audience with his work appearing in The New York Times, The Appeal, and the New York Law Journal.
Before becoming a law professor, Colin Doyle was a Climenko Fellow at Harvard Law School and worked as a staff attorney at the Criminal Justice Policy Program at Harvard Law School. He received his J.D. magna cum laude from Harvard Law School, where he served as articles chair for the Harvard Law Review.
- Jobs in the Judiciary (for Robots) (work in progress)
- How Algorithms Expose the Law (work in progress)
- All Models Are Wrong, But Are Risk Assessments Useful? American Society of Criminology Division on Corrections and Sentencing: Handbook on Pretrial Justice (2021) (invited contribution)
- Studying Up: Reorienting the Study of Algorithmic Fairness Around Issues of Power, ACM Conference On Fairness, Accountability, And Transparency (2020) (with Chelsea Barabas, Karthik Dinakar, & JB Rubinovitz)
- Court Culture and Criminal Law Reform, 69 Duke Law Journal Online 84 (2020) (invited contribution) (with Mitali Nagrecha & Sharon Brett)
- Technical Flaws of Pretrial Risk Assessments Raise Grave Concerns (2019) (with Chelsea Barabas & Karthik Dinakar)
- Bail Reform: A Guide for State and Local Policymakers (2019) (with Chiraag Bains & Brook Hopkins)
Columns and Commentary
- The Feature is the Bug, Inquest (August 2021)
- Prop. 25: Should cash bail be replaced with risk assessments? Los Angeles Times Video (October 2020)
- Chesa Boudin’s New Bail Policy is Nation’s Most Progressive. It Also Reveals Persistence of Tough-on-Crime Norms, The Appeal (January 2020)
- The Problems with Risk Assessment Tools, New York Times (July 2019) (with Chelsea Barabas & Karthik Dinakar)