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When Enough Is Enough: Location Tracking, Mosaic Theory, And Machine Learning, Steven M. Bellovin, Renée M. Hutchins, Tony Jebara, Sebastian Zimmeck
When Enough Is Enough: Location Tracking, Mosaic Theory, And Machine Learning, Steven M. Bellovin, Renée M. Hutchins, Tony Jebara, Sebastian Zimmeck
Faculty Scholarship
Since 1967, when it decided Katz v. United States, the Supreme Court has tied the right to be free of unwanted government scrutiny to the concept of reasonable xpectations of privacy.[1] An evaluation of reasonable expectations depends, among other factors, upon an assessment of the intrusiveness of government action. When making such assessment historically the Court has considered police conduct with clear temporal, geographic, or substantive limits. However, in an era where new technologies permit the storage and compilation of vast amounts of personal data, things are becoming more complicated. A school of thought known as “mosaic theory” …
Failing Expectations: Fourth Amendment Doctrine In The Era Of Total Surveillance, Olivier Sylvain
Failing Expectations: Fourth Amendment Doctrine In The Era Of Total Surveillance, Olivier Sylvain
Faculty Scholarship
Today’s reasonable expectation test and the third-party doctrine have little to nothing to offer by way of privacy protection if users today are at least conflicted about whether transactional noncontent data should be shared with third parties, including law enforcement officials. This uncertainty about how to define public expectation as a descriptive matter has compelled courts to defer to legislatures to find out what public expectation ought to be more as a matter of prudence than doctrine. Courts and others presume that legislatures are far better than courts at defining public expectations about emergent technologies.This Essay argues that the reasonable …