Abstract
The boom of big data and predictive analytics has revolutionized business. eHarmony matches customers based on shared likes and expectations for romance, and Target uses similar methods to strategically push its products on shoppers. Courts and Departments of Corrections have also sought to employ similar tools. However, the use of data analytics in sentencing raises a host of constitutional concerns. In State v. Loomis, the Wisconsin Supreme Court was faced with whether the use of an actuarial risk assessment tool based on a proprietary formula violates a defendant’s right to due process where the defendant could not review how the various inputs were weighed. The opinion attempts to save a constitutionally dubious technique and reads as a warning to lower courts in the proper use of predictive analytics. This article explores certain equal protection and due process arguments implicated by Loomis.
Citation
John Lightbourne, Damned Lies & Criminal Sentencing Using Evidence-Based Tools, 15 Duke Law & Technology Review 327-343 (2017)
Available at: https://scholarship.law.duke.edu/dltr/vol15/iss1/16