Risk profiling by law enforcement agencies in the big data era

Sascha van Schendel

doi:10.1007/978-3-030-16744-8_18

Risk profiling by law enforcement agencies in the big data era

Sascha van Schendel

Research output: Chapter/Conference proceeding › Chapter › Academic

1 Citation (Scopus)

15 Downloads (Pure)

Abstract

This paper looks at the use of risk profiles by law enforcement in the age of Big Data. First, the paper discusses different use-types of risk profiling. Subsequently, the paper deals with the following three categories of challenges of risk profiling: (a) false positives (and to some extent false negatives) as well as incorrect data and erroneous analysis, (b) discrimination and stigmatization, (c) and maintaining appropriate procedural safeguards. Based on the hypothesis of risk profiling creating challenges, this paper addresses the question whether we need transparency of risk profiling by law enforcement actors, from the perspective of protecting fundamental rights of those affected by the use of risk profiles. The paper explores tackling these challenges from the angle of transparency, introducing Heald’s varieties of transparency as a theoretical model.

Original language	English
Title of host publication	Is there a need for transparency?
Editors	Eleni Kosta, Jo Pierson, Daniel Slamanig, Simone Fischer-Hübner, Stephan Krenn
Publisher	Springer
Pages	275-289
Number of pages	15
ISBN (Print)	978-3-030-16743-1
DOIs	https://doi.org/10.1007/978-3-030-16744-8_18
Publication status	Published - 16 Apr 2019
Externally published	Yes

Publication series

Series	IFIP Advances in Information and Communication Technology

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10.1007/978-3-030-16744-8_18

Risk Profiling by Law Enforcement AgenciesFinal published version, 247 KBLicence: Article 25fa Dutch Copyright Act

Cite this

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AB - This paper looks at the use of risk profiles by law enforcement in the age of Big Data. First, the paper discusses different use-types of risk profiling. Subsequently, the paper deals with the following three categories of challenges of risk profiling: (a) false positives (and to some extent false negatives) as well as incorrect data and erroneous analysis, (b) discrimination and stigmatization, (c) and maintaining appropriate procedural safeguards. Based on the hypothesis of risk profiling creating challenges, this paper addresses the question whether we need transparency of risk profiling by law enforcement actors, from the perspective of protecting fundamental rights of those affected by the use of risk profiles. The paper explores tackling these challenges from the angle of transparency, introducing Heald’s varieties of transparency as a theoretical model.

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Risk profiling by law enforcement agencies in the big data era

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