The Challenges of Risk Profiling Used by Law Enforcement: Examining the Cases of COMPAS and SyRI

Author:

van Schendel Sascha

Publisher

T.M.C. Asser Press

Reference34 articles.

1. AI Now Institute (2018) Litigating algorithms: Challenging government use of algorithmic decision systems. https://ainowinstitute.org/litigatingalgorithms.pdf . Last accessed 30 September 2018

2. Angwin J, Larson J, Mattu S, Kirchner L (2016) Machine Bias: There’s software used across the country to predict future criminals. And it’s biased against blacks. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing . Last accessed 30 September 2018

3. Brayne S, Rosenblat A, Boyd D (2015) Predictive Policing. https://datacivilrights.org/2015/ . Last accessed 30 September 2018

4. Brinkhoff S (2017) Big Data Data Mining by the Dutch Police: Criteria for a Future Method of Investigation. European Journal for Security Research 2:57–69

5. Brkan M (2017) Do algorithms rule the world? Algorithmic decision-making in the framework of the GDPR and beyond. https://ssrn.com/ab-stract=3124901 . Last accessed 30 September 2018

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