@inbook{3a99ad42bdcc4b2b80d80b880b2eee6f,
title = "The challenges of risk profiling used by law enforcement: Examining the cases of COMPAS and SyRI",
abstract = "The use of Big Data in the law enforcement sector turns the traditional practices of profiling to search for suspects or determining the threat level of a suspect into a data-driven process. Risk profiling is frequently used in the USA and is becoming more prominent in national law enforcement practices in Member States of the European Union. While risk profiling creates challenges that differ per jurisdiction in which it is used and vary along the purpose for which the profiling is deployed, this technological development brings fundamental changes that are quite universal. Risk profiling of suspects, or of large parts of the population to detect suspects, brings challenges of transparency, discrimination and challenges procedural safeguards. After exploring the concept of risk profiling, this chapter discusses those fundamental challenges. To illustrate the challenges, the chapter uses two main examples of risk profiling: COMPAS and SyRI.",
keywords = "Risk profiling, Big Data, Predictive Policing, law enforcement, Discrimination, Legal Safeguards, predictive analytics, Data Protection",
author = "{van Schendel}, Sascha",
year = "2019",
month = mar,
doi = "10.1007/978-94-6265-279-8_12",
language = "English",
isbn = "978-94-6265-278-1",
series = "Information Technology and Law Series",
publisher = "T.M.C. Asser Press | Springer",
number = "32",
pages = "225--240",
editor = "Leonie Reins",
booktitle = "Regulating new technologies in uncertain times",
}