Local law enforcement jumps on the Big Data bandwagon: Automated license plate recognition systems, information privacy, and access to government information

Bryce Newell

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This paper presents findings from an exploratory empirical analysis of two automated license plate recognition (ALPR) databases, consisting of more than 1.7 million license plate scans in Seattle, Washington. I present tabulated summary data, geo-spatial visualizations, and offer a theoretical and legal analysis of the tensions between privacy and access to information implicated by the public disclosure of surveillance databases. One recently popular legal response (in the USA and Canada), limiting ALPR data retention, protects the privacy of innocent individuals whose plates happen to be scanned, but it also limits the ability of the public to conduct oversight.
Original languageEnglish
Pages (from-to)398-436
Number of pages38
JournalMaine Law Review
Volume66
Issue number2
Publication statusPublished - May 2014
Externally publishedYes

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local law
law enforcement
license
privacy
information system
visualization
surveillance
Canada
ability

Keywords

  • access to information
  • freedom of information
  • public disclosure
  • surveillance
  • privacy
  • policing
  • license plates
  • number plates
  • alpr
  • anpr
  • Law

Cite this

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Local law enforcement jumps on the Big Data bandwagon : Automated license plate recognition systems, information privacy, and access to government information. / Newell, Bryce.

In: Maine Law Review, Vol. 66, No. 2, 05.2014, p. 398-436.

Research output: Contribution to journalArticleScientificpeer-review

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