Washington Law Review, Issue 89:1

Volume 89  | Issue 1


Artificial Intelligence and the Law: Washington Law Review Print Symposium

Washington Law Review, the flagship law journal at the University of Washington School of Law, released its spring 2014 print symposium, Artificial Intelligence and the Law.  As the title suggests, this print symposium issue includes a number of articles from highly regarded academics addressing legal issues in the expanding field of artificial intelligence. Authors in this issue include David C. Vladeck, Professor of Law, Georgetown University Law Center; Danielle Keats Citron, Lois K. Macht Research Professor & Professor of Law, University of Maryland Francis King Carey School of Law; Frank Pasquale, Professor of Law, University of Maryland Francis King Carey School of Law; Elizabeth E. Joh, Professor of Law, U.C. Davis School of Law; Lawrence B. Solum, Professor of Law, Georgetown University Law Center; and Harry Surden, Associate Professor of Law, University of Colorado Law School.



The Scored Society: Due Process for Automated Predictions

Danielle Keats Citron & Frank Pasquale

Policing by Numbers: Big Data and the Fourth Amendment

Elizabeth E. Joh

Artificial Meaning

Lawrence B. Solum

Machine Learning and Law

Harry Surden

Machines Without Principals: Liability Rules and Artificial Intelligence

David C. Vladeck 



The Undersigned Attorney Hereby Certifies: Ensuring Reasonable Caseloads for Washington Defenders and Clients

Andrea Woods

Reexamining Crawford: Poll Worker Error as a Burden on Voters

Lauren Watts

The Parcel as a Whole: Defining the Relevant Parcel in Temporary Regulatory Takings Cases

Laura J. Powell


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