Law Commons^™

Suspect Development Systems: Databasing Marginality And Enforcing Discipline, Rashida Richardson, Amba Kak

University of Michigan Journal of Law Reform

Algorithmic accountability law—focused on the regulation of data-driven systems like artificial intelligence (AI) or automated decision-making (ADM) tools—is the subject of lively policy debates, heated advocacy, and mainstream media attention. Concerns have moved beyond data protection and individual due process to encompass a broader range of group-level harms such as discrimination and modes of democratic participation. While a welcome and long overdue shift, the current discourse ignores systems like databases, which are viewed as technically “rudimentary” and often siloed from regulatory scrutiny and public attention. Additionally, burgeoning regulatory proposals like algorithmic impact assessments are not structured to surface important –yet …

The Missing Algorithm: Safeguarding Brady Against The Rise Of Trade Secrecy In Policing, Deborah Won

Michigan Law Review

Trade secrecy, a form of intellectual property protection, serves the important societal function of promoting innovation. But as police departments across the country increasingly rely on proprietary technologies like facial recognition and predictive policing tools, an uneasy tension between due process and trade secrecy has developed: to fulfill Brady’s constitutional promise of a fair trial, defendants must have access to the technologies accusing them, access that trade secrecy inhibits. Thus far, this tension is being resolved too far in favor of the trade secret holder—and at too great an expense to the defendant. The wrong balance has been struck.

This …

Predictive Policing Theory, Andrew Guthrie Ferguson

Contributions to Books

Predictive policing is changing law enforcement. New place-based predictive analytic technologies allow police to predict where and when a crime might occur. Data-driven insights have been operationalized into concrete decisions about police priorities and resource allocation. In the last few years, place-based predictive policing has spread quickly across the nation, offering police administrators the ability to identify higher crime locations, to restructure patrol routes, and to develop crime suppression strategies based on the new data.

This chapter suggests that the debate about technology is better thought about as a choice of policing theory. In other words, when purchasing a particular …

Policing Predictive Policing, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Predictive policing is sweeping the nation, promising the holy grail of policing – preventing crime before it happens. Police have embraced predictive analytics and data-driven metrics to improve law enforcement tactics, practice, and strategy. Predictive “hot spots” become targets for intensive police surveillance. Targeted “hot people” become suspects. In big cities and small towns, data-based predictions drive police patrol schedules. Risk assessment algorithms target suspicious individuals. Increased data collection fuels a growing feedback loop requiring more robust data crunching systems.All of these predictive innovations share one thing in common: a belief that crime can be understood by identifying and analyzing …

Tightening The Ooda Loop: Police Militarization, Race, And Algorithmic Surveillance, Jeffrey L. Vagle

Michigan Journal of Race and Law

This Article examines how military automated surveillance and intelligence systems and techniques, when used by civilian police departments to enhance predictive policing programs, have reinforced racial bias in policing. I will focus on two facets of this problem. First, I investigate the role played by advanced military technologies and methods within civilian police departments. These approaches have enabled a new focus on deterrence and crime prevention by creating a system of structural surveillance where decision support relies increasingly upon algorithms and automated data analysis tools and automates de facto penalization and containment based on race. Second, I will explore these …

Predictive Prosecution, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Police in major metropolitan areas now use “predictive policing” technologies to identify and deter crime. The early successes of predictive policing have led a few prosecutor’s offices to adopt quasi-“predictive prosecution” strategies. Predictive prosecution involves the identification and targeting of suspects deemed most at risk for future serious criminal activity, and then the use of that information to shape bail determinations, charging decisions, and sentencing arguments. This type of “Moneyball” prosecution has begun in New York City and Chicago, and this essay addresses the promise and peril of this new technology.This essay for the Wake Forest Law Review’s Symposium on …

Leveraging Predictive Policing Algorithms To Restore Fourth Amendment Protections In High-Crime Areas In A Post-Wardlow World, Kelly K. Koss

Chicago-Kent Law Review

Rapid technological changes have led to an explosion in Big Data collection and analysis through complex computerized algorithms. Law enforcement has not been immune to these technological developments. Many local police departments are now using highly advanced predictive policing technologies to predict when and where crime will occur in their communities, and to allocate crime-fighting resources based on these predictions.

Although predictive policing technology has an array of the potential uses, the scope of this Note is limited to addressing how the statistical outputs from these technologies can be used to restore eroded Fourth Amendment rights in alleged high-crime areas. …