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2018 | OriginalPaper | Buchkapitel

An Investigator’s Christmas Carol: Past, Present, and Future Law Enforcement Agency Data Mining Practices

verfasst von : James A. Sherer, Nichole L. Sterling, Laszlo Burger, Meribeth Banaschik, Amie Taal

Erschienen in: Cyber Criminology

Verlag: Springer International Publishing

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Abstract

Law enforcement agencies (LEA) and internal investigators rely heavily on non-LEA structured and unstructured data sources for the surveillance, detection, investigation, and prosecution of criminal matters. Modern LEA practices use data and algorithms to investigate crimes, to predict criminal behavior, and to catch potential perpetrators by mining data through the practice of predictive policing. However, LEA may need to modify their current and future data mining practices if the availability of data or the methods of analysis are constrained. This article addresses the history, current practices, and potential future uses associated with LEA data mining. It also examines existing privacy concerns and new data protection regulations that impact the collection and retention of source data, and it discusses the LEA access to and use of data sources and algorithmic approaches. It further considers Artificial Intelligence-aided tools and methodologies; analyzes whether a lack of human interaction outweighs the privacy concerns associated with the collected data; and considers whether big data collections are permeated with biased past practices such that predictive algorithms (and their performance) are undermined.

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Titel: An Investigator’s Christmas Carol: Past, Present, and Future Law Enforcement Agency Data Mining Practices
verfasst von: James A. Sherer
Nichole L. Sterling
Laszlo Burger
Meribeth Banaschik
Amie Taal
Verlag: Springer International Publishing
Buch: Cyber Criminology
Print ISBN: 978-3-319-97180-3

Electronic ISBN: 978-3-319-97181-0

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-97181-0_12

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