Geolitica

Last updated

PredPol
Company type Private
Founded1 January 2012  OOjs UI icon edit-ltr-progressive.svg
Founders
  • Jeff Brantingham
  • George Mohler [1]
Headquarters Santa Cruz, California, U.S.
Key people
Brian MacDonald (CEO) [2]
Products Predictive analytics
Website www.predpol.com OOjs UI icon edit-ltr-progressive.svg

PredPol, Inc, now known as Geolitica, [2] is a predictive policing company that attempts to predict property crimes using predictive analytics. PredPol is also the name of the software the company produces. PredPol began as a project of the Los Angeles Police Department (LAPD) and University of California, Los Angeles professor Jeff Brantingham. PredPol has produced a patented algorithm, which is based on a model used to predict earthquake aftershocks.

Contents

As of 2020, PredPol's algorithm is the most commonly used predictive policing algorithm in the U.S. [3] [4] Police departments that use PredPol are given printouts of jurisdiction maps that denote areas where crime has been predicted to occur throughout the day. [5] The Los Angeles Times reported that officers are expected to patrol these areas during their shifts, as the system tracks their movements via the GPS in their patrol cars. [6] Scholar Ruha Benjamin called PredPol a "crime production algorithm," as police officers then more heavily patrol these predicted crime zones, expecting to see crime, which leads to a self-fulfilling prophecy. [3]

In an August 2023 earnings call, the CEO of SoundThinking announced that the company had begun the process of absorbing parts of Geolitica, including its engineering team, patents, and customers. According to SoundThinking, Geolitica would cease operations at the end of 2023. [7]

Controversies

PredPol was created in 2010 and was a leading vendor of predictive policing technology by 2012. [8] Smithsonian magazine remarked in 2018 that no independent published research had ever confirmed PredPol's claims of its software's accuracy. [9] In March 2019, the LAPD's internal audit concluded that there were insufficient data to determine if PredPol software helped reduce crime. [6]

In October 2018 Cory Doctorow described the secrecy around identifying which police departments use PredPol. [10] PredPol does not share this information. [10] The information is not accessible to the public. [10] In February 2019 Vice followed up to report that many police departments secretly use PredPol. [11] According to PredPol in 2019, 60 police departments in the U.S. used PredPol, most of which were mid-size agencies of 100 to 200 officers. In 2019, several cities reported cancelling PredPol contracts due to cost. The city of Mountain View, California spent more than $60,000 on the program between 2013 and 2018, and Hagerstown, Maryland spent $15,000 a year on the service until 2018. [6]

In 2016 Mic reported that PredPol inappropriately directs police to minority neighborhoods. [12]

In 2017 Santa Cruz placed a moratorium on the use of predictive policing technology. [13] In 2020, the Santa Cruz City Council banned the use of predictive policing, a move that was supported by a coalition of civil liberties and racial justice groups. [14]

Institutions like the Brennan Center have urged transparency from police departments employing the technology, because in order for policymakers and auditors to evaluate these algorithms, audit logs of who creates and accesses the predictions need to be kept and disclosed. [15]

In April 2020, the Los Angeles Police Department, one of the oldest customers of PredPol, ended its program [16] without being able to measure its effectiveness in reducing crime. [17]

In December 2021, a report was published by Gizmodo and The Markup indicating that PredPol perpetuated racial biases by targeting Latino and Black neighborhoods, while crime predictions for white middle- to upper-class areas were absent. [2] [18]

In October 2023, an investigation by The Markup revealed the crime predictions generated by PredPol's algorithm for the Plainfield Police Department had an accuray rate less than half of 1%. [19]

Related Research Articles

<span class="mw-page-title-main">Los Angeles Police Department</span> Primary law enforcement agency of Los Angeles, California, United States

The Los Angeles Police Department (LAPD), officially known as the City of Los Angeles Police Department, is the primary law enforcement agency of Los Angeles, California, United States. With 8,832 officers and 3,000 civilian staff, it is the third-largest municipal police department in the United States, after the New York City Police Department and the Chicago Police Department.

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.

<span class="mw-page-title-main">Los Angeles Police Department resources</span> Resources and systems used by the Los Angeles Police Department

The Los Angeles Police Department (LAPD), the primary law enforcement agency of Los Angeles, California, United States, maintains and uses a variety of resources that allow its officers to effectively perform their duties. The LAPD's organization is complex with the department divided into bureaus and offices that oversee functions and manage specialized units. The LAPD's resources include the department's divisions, transportation, communications, and technology.

<span class="mw-page-title-main">Pre-crime</span> Term for crimes not yet committed

Pre-crime is the idea that the occurrence of a crime can be anticipated before it happens. The term was coined by science fiction author Philip K. Dick, and is increasingly used in academic literature to describe and criticise the tendency in criminal justice systems to focus on crimes not yet committed. Precrime intervenes to punish, disrupt, incapacitate or restrict those deemed to embody future crime threats. The term precrime embodies a temporal paradox, suggesting both that a crime has not yet occurred and that it is a foregone conclusion.

<span class="mw-page-title-main">LAPD Metropolitan Division</span> Division of the Los Angeles Police Department

Metropolitan Division, commonly referred to as Metro Division or just Metro, is an elite division of the Los Angeles Police Department (LAPD) under its Special Operations Group. Metropolitan Division is responsible for managing the LAPD's specialized crime suppression, K-9, mounted, and SWAT units, named "platoons".

<span class="mw-page-title-main">Charlie Beck</span> American former police chief in Los Angeles (born 1953)

Charles Lloyd Beck is a retired police officer, formerly serving as the Chief of the Los Angeles Police Department (LAPD) and subsequently as the Superintendent of the Chicago Police Department. A veteran of the department with over four decades as an officer, he is known for commanding and rehabilitating the Rampart Division after the Rampart scandal; and for technology enhancements during his time as Chief of Detectives. He agreed to be interim Superintendent of Police in Chicago in late 2019 while the city searches nationwide for a replacement for retiring Eddie Johnson. Beck took the helm of the Chicago Police Department on December 2, 2019 after Johnson was fired. On April 15, 2020, Beck stepped down and was replaced by former Dallas Police Department Chief David Brown, who had been nominated by Lightfoot to serve as permanent Superintendent. After his retirement he rejoined the Reserve Corps as a Reserve Police Officer and is assigned to the Office Of The Chief Of Police.

<span class="mw-page-title-main">Domain Awareness System</span>

The Domain Awareness System is the largest digital surveillance system in the world as part of the Lower Manhattan Security Initiative in partnership between the New York Police Department and Microsoft to monitor New York City. It allows the NYPD to track surveillance targets and gain detailed information about them, and is overseen by the counterterrorism bureau.

In the United States, the practice of predictive policing has been implemented by police departments in several states such as California, Washington, South Carolina, Alabama, Arizona, Tennessee, New York, and Illinois. Predictive policing refers to the usage of mathematical, predictive analytics, and other analytical techniques in law enforcement to identify potential criminal activity. Predictive policing methods fall into four general categories: methods for predicting crimes, methods for predicting offenders, methods for predicting perpetrators' identities, and methods for predicting victims of crime.

<span class="mw-page-title-main">Surveillance issues in smart cities</span>

Smart cities seek to implement information and communication technologies (ICT) to improve the efficiency and sustainability of urban spaces while reducing costs and resource consumption. In the context of surveillance, smart cities monitor citizens through strategically placed sensors around the urban landscape, which collect data regarding many different factors of urban living. From these sensors, data is transmitted, aggregated, and analyzed by governments and other local authorities to extrapolate information about the challenges the city faces in sectors such as crime prevention, traffic management, energy use and waste reduction. This serves to facilitate better urban planning and allows governments to tailor their services to the local population.

<span class="mw-page-title-main">Ruha Benjamin</span> American sociologist

Ruha Benjamin is a sociologist and a professor in the Department of African American Studies at Princeton University. The primary focus of her work is the relationship between innovation and equity, particularly focusing on the intersection of race, justice and technology. Benjamin is the author of numerous publications, including the books People's Science: Bodies and Rights on the Stem Cell Frontier (2013), Race After Technology: Abolitionist Tools for the New Jim Code (2019) and Viral Justice: How We Grow the World We Want (2022).

<span class="mw-page-title-main">Algorithmic bias</span> Technological phenomenon with social implications

Algorithmic bias describes systematic and repeatable errors in a computer system that create "unfair" outcomes, such as "privileging" one category over another in ways different from the intended function of the algorithm.

<i>Algorithms of Oppression</i> 2018 book by Safiya Umoja Noble

Algorithms of Oppression: How Search Engines Reinforce Racism is a 2018 book by Safiya Umoja Noble in the fields of information science, machine learning, and human-computer interaction.

<span class="mw-page-title-main">Joy Buolamwini</span> Computer scientist and digital activist

Joy Adowaa Buolamwini is a Canadian-American computer scientist and digital activist based at the MIT Media Lab. She founded the Algorithmic Justice League (AJL), an organization that works to challenge bias in decision-making software, using art, advocacy, and research to highlight the social implications and harms of artificial intelligence (AI).

<span class="mw-page-title-main">Julia Angwin</span> American investigative journalist

Julia Angwin is an American investigative journalist, author, and entrepreneur. She co-founded and was editor-in-chief of The Markup, a nonprofit newsroom that investigates the impact of technology on society. She was a staff reporter at the New York bureau of The Wall Street Journal from 2000 to 2013, during which time she was on a team that won the Pulitzer Prize in journalism. She worked as a senior reporter at ProPublica from 2014 to April 2018, during which time she was a finalist for the Pulitzer Prize.

Sandra Figueroa-Villa is a former member of the Los Angeles Board of Police Commissioners, the five-member appointed body that oversees the Los Angeles Police Department. She has been described as "a key leader in the Latino community" in Los Angeles.

DataWorks Plus LLC is a privately held biometrics systems integrator based in Greenville, South Carolina. The company started in 2000 and originally focused on mugshot management, adding facial recognition beginning in 2005. Brad Bylenga is the CEO, and Todd Pastorini is the EVP and GM. Usage of the technology by police departments has resulted in wrongful arrests.

<span class="mw-page-title-main">Rashida Richardson</span> American attorney and scholar

Rashida Richardson is a visiting scholar at Rutgers Law School and the Rutgers Institute for Information Policy and the Law and an attorney advisor to the Federal Trade Commission. She is also an assistant professor of law and political science at the Northeastern University School of Law and the Northeastern University Department of Political Science in the College of Social Sciences and Humanities.

<span class="mw-page-title-main">Virginia Eubanks</span> American political scientist, author

Virginia Eubanks is an American political scientist, professor, and author studying technology and social justice. She is an associate professor in the Department of Political Science at the University at Albany, SUNY. Previously Eubanks was a Fellow at New America researching digital privacy, economic inequality, and data-based discrimination.

Automated decision-making (ADM) involves the use of data, machines and algorithms to make decisions in a range of contexts, including public administration, business, health, education, law, employment, transport, media and entertainment, with varying degrees of human oversight or intervention. ADM involves large-scale data from a range of sources, such as databases, text, social media, sensors, images or speech, that is processed using various technologies including computer software, algorithms, machine learning, natural language processing, artificial intelligence, augmented intelligence and robotics. The increasing use of automated decision-making systems (ADMS) across a range of contexts presents many benefits and challenges to human society requiring consideration of the technical, legal, ethical, societal, educational, economic and health consequences.

Predictive policing is the usage of mathematics, predictive analytics, and other analytical techniques in law enforcement to identify potential criminal activity. A report published by the RAND Corporation identified four general categories predictive policing methods fall into: methods for predicting crimes, methods for predicting offenders, methods for predicting perpetrators' identities, and methods for predicting victims of crime.

References

  1. Gilbertson, Annie (August 20, 2020). "Data-informed predictive policing was heralded as less biased. Is it?". Mic .
  2. 1 2 3 Aaron Sankin et al. "Crime Prediction Software Promised to Be Free of Biases. New Data Shows It Perpetuates Them". Gizmodo, December 1, 2021.
  3. 1 2 Benjamin, Ruha (2019). Race After Technology: Abolitionist Tools for the New Jim Code. Medford, MA: Polity. p. 83.
  4. Heaven, Will Douglas (July 17, 2020). "Predictive policing algorithms are racist. They need to be dismantled". MIT Technology Review.
  5. Wang, Jackie (2018). Carceral Capitalism. South Pasadena, CA: Semiotext(e). p. 241.
  6. 1 2 3 Puente, Mark (July 3, 2019). "LAPD pioneered predicting crime with data. Many police don't think it works". Los Angeles Times. Retrieved November 22, 2020.
  7. Mehrotra, Dhruv (September 27, 2023). "The Maker of ShotSpotter Is Buying the World's Most Infamous Predictive Policing Tech". Wired. ISSN   1059-1028 . Retrieved September 27, 2023.
  8. Winston, Ali (April 26, 2018). "A pioneer in predictive policing is starting a troubling new project". The Verge.
  9. Rieland, Randy (March 5, 2018). "Artificial Intelligence Is Now Used to Predict Crime. But Is It Biased?". Smithsonian.
  10. 1 2 3 Doctorow, Cory (October 30, 2018). "Is this the full list of US cities that have bought or considered Predpol's predictive policing services?". Boing Boing.
  11. Koebler, Jason; Haskins, Caroline (February 6, 2019). "Dozens of Cities Have Secretly Experimented With Predictive Policing Software". Vice.
  12. Smith IV, Jack (October 6, 2016). "(Exclusive) Crime-prediction tool PredPol amplifies racially biased policing, study shows". Mic .
  13. Miller, Susan (July 1, 2020). "Santa Cruz bans predictive policing -". GCN. Retrieved November 23, 2020.
  14. "Santa Cruz becomes first U.S. city to approve ban on predictive policing". Santa Cruz Sentinel. June 24, 2020. Retrieved November 23, 2020.
  15. "Predictive Policing Explained | Brennan Center for Justice". www.brennancenter.org. April 1, 2020. Retrieved November 23, 2020.
  16. "LAPD will end controversial program that aimed to predict where crimes would occur". Los Angeles Times. April 21, 2020.
  17. Leila Miller (April 21, 2020). "LAPD data programs need better oversight to protect public, inspector general concludes". Los Angeles Times.
  18. "Crime Prediction Software Promised to be Free of Biases. New Data Shows It Perpetuates Them – the Markup". December 2, 2021.
  19. Sankin, Aaron (October 2, 2023). "Predictive Policing Software Terrible At Predicting Crimes". The Markup. The Wired. Retrieved October 3, 2023.