Big Data and Predictive Reasonable Suspicion

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Fairness in Criminal Justice Risk Assessments: The State of the Art (2017, background): “…formal definitions of fairness into philosophical or jurisprudential notions in part because the authors of this article lack the expertise and in part because that multidisciplinary conversation is just beginning (Barocas and Selbst 2016; Ferguson 2015; Jans-sen and Kuk 2016; Kroll et al. 2017).”
Big Data Surveillance: The Case of Policing (2017, background): “Therefore, legal scholars such as Ferguson (2015: 336) suggest the courts should “require a higher level of detail and correlation using the insights and capabilities of big data.””
Fairness in Machine Learning: A Survey (2020, background): “Machine Learning (ML) technologies solve challenging problems that often have high social impact, such as examining re-offence rates (e.g., References [11, 25, 27, 44, 100, 224]), automating chat and (tech) support, and screening job applications (see References [241, 285]).”