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19 J. Tech. L. & Pol'y 105 (2014)
Total Surveillance, Big Data, and Predictive Crime Technology: Privacy's Perfect Storm

handle is hein.journals/jtlp19 and id is 111 raw text is: TOTAL SURVEILLANCE, BIG DATA, AND PREDICTIVE CRIME TECHNOLOGY: PRIVACY'S PERFECT STORM Kevin Miller* I. IN TRODUCTION ........................................................................... 106 II. THE PARADIGM OF CRIME PREDICTION ....................................... 107 A. Brief Overview of Modern, Total Surveillance .................... 107 B. The Rise of Big Data Analytics ............................................ 112 C. Predictive Systems and the Dream of Total Knowledge ...... 114 III. TECHNOLOGICAL AND METHODOLOGICAL EFFECTIVENESS OF THE PREDICTIVE PARADIGM ......................... 118 A. Performance: Data Quality, the Base Rate Fallacy, and A utom ation B ias ................................................................... 118 B. Side-Effects: Bias and Norm-Shaping .................................. 122 IV. SIDE EFFECTS: PRIVACY HARMS ................................................. 125 A . Fourth A m endm ent ............................................................... 125 B . F irst A m endm ent .................................................................. 130 V. SPECULATIONS AND POSSIBILITIES ............................................. 135 A. Quantitative Privacy Rights ............................................ 135 B. A Right to Due Process in Automated Systems .................... 136 C. Economic Rights in My Virtual Proxy? ............................... 140 V I. C ON CLUSION ............................................................................... 145 * Kevin Miller is a graduate of the University of Florida Levin College of Law and has an MBA in Technology Management. He has published articles in the Southern California Interdisciplinary Law Journal, the ILSA Quarterly, and the University of Florida Journal of Law & Public Policy. He has also published a book on software development and presented papers at several technology conferences. He is currently employed at the intellectual property law firm of Saliwanchik, Lloyd & Eisenschenk in Gainesville, Florida. Prior to attending law school, he was a software engineer and technology specialist for several technology companies, including Microsoft, before founding his own software company.

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