Machine learning, automated suspicion algorithms, and the fourth amendment ML Rich University of Pennsylvania Law Review, 871-929, 2016 | 239 | 2016 |
Should we make crime impossible ML Rich Harv. JL & Pub. Pol'y 36, 795, 2013 | 58 | 2013 |
Prosecutorial Indiscretion: Encouraging the Department of Justice to Rein in Out-of-Control Qui Tam Litigation Under the Civil False Claims Act M Rich U. Cin. L. Rev. 76, 1233, 2007 | 43 | 2007 |
Coerced Informants and Thirteenth Amendment Limitations on the Police-Informant Relationship ML Rich Santa Clara L. Rev. 50, 681, 2010 | 37 | 2010 |
Lessons of disloyalty in the world of criminal informants ML Rich Am. CRiM. L. REv. 49, 1493, 2012 | 23 | 2012 |
Brass rings and red-headed stepchildren: Protecting active criminal informants ML Rich Am. UL Rev. 61, 1433, 2011 | 23 | 2011 |
Limits on the perfect preventive state ML Rich Conn. L. Rev. 46, 883, 2013 | 21 | 2013 |
Should We Make Crime Impossible?’(2013) ML Rich Harvard Journal of Law and Public Policy 36, 795, 0 | 7 | |
Machine Learning, Automated Suspicion Algorithms, and the Fourth Amendment”(2016) ML Rich University of Pennsylvania Law Review 164, 871, 0 | 6 | |
Machines as Crime Fighters-Are You Ready ML Rich Crim. Just. 30, 10, 2015 | 5 | 2015 |
The Perfect Non-Crime ML Rich New York Times 7, 2012 | 2 | 2012 |
Founded 1852 RA Ford, ML Rich University of Pennsylvania Law Review 164 (4), 2016 | | 2016 |