Predictive justice keeps marching on: increased security or dystopia?
This article is also available here in Spanish.

Predictive justice keeps marching on: increased security or dystopia?

My list

Author | Lucía Burbano

Through learning patterns based on public data on violent and property crimes,scientists from the University of Chicago have developed a new algorithm that can predict future crimes one week in advance with about 90% accuracy. This is where some questions arise, but one in particular, will artificial intelligence be the new justice tool?

What is predictive justice?

Despite sounding extremely modern, jurimetrics or predictive justice is a concept that first emerged in 1949 thanks to Lee Loevinger, an American jurist who proposed using statistics and mathematical probability as a response to certain legal issues. He summarized his idea in an article published that year by the Minnesota Law Review.

Obviously, algorithms and Artificial Intelligence (AI) did not exist seventy years ago, and today they can imitate cognitive processes and make decisions and resolve problems by analyzing millions of data. But the debate was already out there.

AI to predict crimes

predictive justice 2

Returning to the legal arena, Artificial Intelligence, on the one hand, reduces the time spent by Law professionals on preparing a case by analyzing millions of judicial decisions similar to those they are dealing with.

On the other hand, and focusing on predictive justice, the algorithms used by the study published by Victor Rotaru, Yi Huang, Timmy Li, James Evans and  Ishanu Chattopadhyay, use historical data in the city of Chicago on two major categories of reported incidents: violent crimes (homicides and assaults) and property offences (robberies and theft or vehicle robberies).

They chose these data because they are more likely to be reported to the police in urban areas in which there is distrust and lack of cooperation between citizens and law enforcement agencies. Apart from Chicago, this predictive system has already been tested in the cities of Atlanta, Austin, Detroit, Los Angeles, Philadelphia, Portland and San Francisco.

China, Israel, United Kingdom… the predictive justice map

Also in the United States, the start-up Predpol was created jointly in 2012 as a research project by the Los Angeles police department and UCLA. Bill Bratton, the commissioner at the time, wanted to find a way of using the COMPSTAT data, the organizational management tool used by police, to facilitate predictive recommendations about how and where new crimes may be committed.

Since then, this predictive justice tool has been protecting one in 33 people in the United States, according to its website. In Pennsylvania, for example, robberies are said to have been reduced by 23% thanks to this predictive system.

Another country that uses predictive technologies in its judicial system is China. Since 2017, the artificial intelligence company Megvii has been working on an AI system that analyzes hours of video recordings, looking for unusual patterns that may be illegal in order to inform the police.

And there are more examples. The Eurocop program, developed by the University of Castellón in Spain, is creating a predictive map of specific places and times in a city where a crime may be committed.

**Cambridge University **has the predictive intelligence project Hart; Italy, XLAW; Germany, Precobs; Japan, Vaak and Israel, Cortica, which is also used in India.

Discrepancies regarding the use of AI in justice

Not everyone agrees with the use of AI in police departments. The United Kingdom’s Liberty Human Rights expressed it disagreement alleging that the use of this programs is "discriminatory" and "dangerous".

"Our research has revealed that at least 14 police forces in the United Kingdom have used or intend to use discriminatory software algorithms to predict where offences will be committed and by whom. The predictive programs aren’t neutral. They are trained by people and rely on existing police data, and so they reflect patterns of discrimination and further embed them into police practice.", they argue.

Furthermore, they warn that the public is given "very little information" about how predictive algorithms reach their decisions — and even the police don’t understand how they do it. "This lack of transparency and understanding means these programs can’t be properly scrutinized".

Lastly, they are calling on police "to end their use of these dangerous and discriminatory programs".

The debate is guaranteed.

Photographs | Unsplash/Possessed Photography, Unsplash/Tingey Injury Law Firm

Related content

Recommended profiles for you

LA
Luis Araújo Santos
Polytechnic Institute of Engineering
CC
Carlo Alberto Gamboa carlogamboa
Tres de México Consultoría GC
Project Management Professional
WB
Wissam Benmusa
Libyan petroleum institute
Supervisor of the Monitoring and Electronic Control Unit
EB
Elyssa Barrow
School
AA
Anniina Autero
City of Tampere
Project Manager EU/UIA Smart urban security and event resilience SURE-project 2019-2022
FG
Felipe Granda
Grupo Grapas tuxtla
RB
Richard Baamonde
CJIS GROUP LLC
Sales for a research company focused on uncovering tech procurement opportunities in US SLED Market
EA
Ernest Alemany
Tradia Telecom del grup Cellnex
Bussines
KH
KANG Helen
Ahranta, Inc.
Manager in Overseas sales
MZ
Martin Zimmermann
Microsoft Austria
Enterprise Channel Manager
HA
HASNI ANICE
DELL
Advisory system engineer
MV
MARIO VERDESOTO
EPMSA
general supervisor to security
AM
Alberto Mombelli
AXIS
Sales
MM
Marcos Cruz Molina Marcos
Municipio Vega Baja
FM
Fabio MANGIAFAVE
Incluit
CTO
KH
Krüger Hannes
Schlentzek & Kühn GmbH
Salesman
EG
Estefanía GÓMEZ
Universidad de Valladolid
Studient of a por grade in risks prevention, quality and environment
RC
Ralph Cordova
Domovision Perú SaC
Owner
RE
roberto ehrman
Security Secretariat of Vicente Lopez
I deal with the admin of resources in the quest to place Vicente Lopez as a benchmark in SmartCities

Are we building the cities we really need?

Explore Cartography of Our Urban Future —a bold rethink of ‘smart’ cities and what we must change by 2030.