• Home
  • Latest
  • Fortune 500
  • Finance
  • Tech
  • Leadership
  • Lifestyle
  • Rankings
  • Multimedia
TechBig Data

Predictive Policing Did Nothing to Prevent Violence in Chicago

By
David Z. Morris
David Z. Morris
Down Arrow Button Icon
By
David Z. Morris
David Z. Morris
Down Arrow Button Icon
August 21, 2016, 12:47 PM ET
Courtesy of 20th Century Fox

New research led by RAND Corporation criminologist Jessica Saunders has concluded that a Chicago experiment in predictive policing was, at least in its early stages, a failure.

The program, launched in 2013, used data analytics to identify individuals, known as Strategic Subjects, likely to be involved in a shooting. The original premise was that social workers would engage with these at-risk individuals before they became embroiled in violence. Instead, the report finds that the list only served to help target those individuals for arrest after a crime had already been committed, making it little more than what one commentator called a “data-driven ‘most-wanted’ list.”

Get Data Sheet, Fortune’s technology newsletter.

Saunders and her co-authors found that identified Strategic Subjects were no more or less likely to be a victim of violence than other individuals. They were, however, more likely to be arrested for gun violence. The researchers further found that the program had no effect on Chicago’s broader crime patterns.

Speaking with the Verge, one of the report’s authors, John S. Hollywood, suggested that the program’s failure had more to do with implementation problems than with flaws in the idea of predictive policing. Amidst a number of other anti-crime initiatives, Hollywood says the Strategic Subjects program “just got lost”—until, that is, police needed to locate suspects.

That isn’t far from the dystopian worst-case scenario sketched way back in 1956 in Philip K. Dick’s “The Minority Report,” adapted into a Tom Cruise film in 2002. In that story, ‘Precrime’ investigations lead to the arrest of suspects before they’ve even broken the law.

For more on big data and policing, watch our video.

In response to the RAND findings, the Chicago Police have stressed that the results were based on an early version of the program, which has since “evolved greatly.” And most of the failures were in implementation of the new method, with little evaluation so far of the accuracy of the predictive model itself.

The CPD also stressed that the program made no use of race or socioeconomic data for identifying Strategic Subjects. That’s a vital point, since the program so obviously raises concerns that it would simply reinforce what a task force has described as “systemic and sanctioned” pattern of bias and abuse by the department.

 

About the Author
By David Z. Morris
See full bioRight Arrow Button Icon

Latest in Tech

Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025

Most Popular

Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Finance
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam
By Fortune Editors
October 20, 2025
Fortune Secondary Logo
Rankings
  • 100 Best Companies
  • Fortune 500
  • Global 500
  • Fortune 500 Europe
  • Most Powerful Women
  • Future 50
  • World’s Most Admired Companies
  • See All Rankings
Sections
  • Finance
  • Fortune Crypto
  • Features
  • Leadership
  • Health
  • Commentary
  • Success
  • Retail
  • Mpw
  • Tech
  • Lifestyle
  • CEO Initiative
  • Asia
  • Politics
  • Conferences
  • Europe
  • Newsletters
  • Personal Finance
  • Environment
  • Magazine
  • Education
Customer Support
  • Frequently Asked Questions
  • Customer Service Portal
  • Privacy Policy
  • Terms Of Use
  • Single Issues For Purchase
  • International Print
Commercial Services
  • Advertising
  • Fortune Brand Studio
  • Fortune Analytics
  • Fortune Conferences
  • Business Development
  • Group Subscriptions
About Us
  • About Us
  • Editorial Calendar
  • Press Center
  • Work At Fortune
  • Diversity And Inclusion
  • Terms And Conditions
  • Site Map
  • About Us
  • Editorial Calendar
  • Press Center
  • Work At Fortune
  • Diversity And Inclusion
  • Terms And Conditions
  • Site Map
  • Facebook icon
  • Twitter icon
  • LinkedIn icon
  • Instagram icon
  • Pinterest icon

Latest in Tech

A woman looks frustrated a computer
AIWomen
Women are avoiding the very technology that threatens them most, as expert warns of a ‘two-tiered AI economy’ approaching
By Jacqueline MunisMarch 21, 2026
15 minutes ago
AIFinance
Why Block’s COO is tracking ‘gross profit per employee’—and how AI is on track to double it to $2 million
By Sheryl EstradaMarch 21, 2026
28 minutes ago
home for sale
AIChatGPT
A man let ChatGPT sell his home. It beat every agent’s estimate by $100K—and closed in 5 days
By Jake AngeloMarch 21, 2026
1 hour ago
LawElon Musk
Musk misled Twitter investors before 2022 buyout, jury says
By Isaiah Poritz, Jef Feeley and BloombergMarch 20, 2026
10 hours ago
bespectacled man scratches the back of his head during congressional hearing
CryptoCryptocurrency
Kalshi locks in $22 billion valuation, gaining slight edge over its rival Polymarket
By Carlos GarciaMarch 20, 2026
12 hours ago
Big TechEntrepreneurs
Mark Cuban reads 1,000 emails a day—now he’s using a Mac Mini to fight the AI-generated flood threatening his clean inbox obsession
By Marco Quiroz-GutierrezMarch 20, 2026
13 hours ago

© 2026 Fortune Media IP Limited. All Rights Reserved. Use of this site constitutes acceptance of our Terms of Use and Privacy Policy | CA Notice at Collection and Privacy Notice | Do Not Sell/Share My Personal Information
FORTUNE is a trademark of Fortune Media IP Limited, registered in the U.S. and other countries. FORTUNE may receive compensation for some links to products and services on this website. Offers may be subject to change without notice.