Shared Folder: Research Folder [2020-03&04] = Predictive Policing. By Mara Hvistendahl Sep. 28, 2016 , 9:00 AM. The software is supposed to make policing more fair and accountable. Predictive policing is changing policing . UCLA anthropology professor and senior author of the study, Jeffery Brantingham, explains that the study proves that analyst’s use of predictive policing “prevented twice as much crime,” as analysts working without. FEB 2020: PREDICTIVE POLICING Current Research for Public Forum Debate Class… TOPIC: Predictive Policing Resolved: Predictive policing is unjust. The root of these problems is in the data. Predictive policing systems threaten to undermine the constitutional rights of individuals. Ultimately, predictive policing systems and the data they process are the offspring of an unjust world. But critics say it still has a way to go. Predictive policing is sweeping the nation, promising the holy grail of policing – preventing crime before it happens. One attempt at a predictive policing service was developed by our colleagues at UCLA. Predictive Policing Symposium. KANKEE BRIEFS Resolved: Predictive policing is unjust. This thread is archived. is unjust, then the algorithm's gonna replicate that. Because geographical space is inherently continu-ous, the placement of a boundary to delineate a hot spot is somewhat arbitrary. predictive policing is done through software called PredPol. 2020 March – April Supplment File … AFF Ideas: The most common aff on this topic will probably be one that focuses on racial inequality. ... noting it is unjust and racist. Can ‘predictive policing’ prevent crime before it happens? Artificial Intelligence Is Now Used to Predict Crime. In response to the crisis, the concept of community policing developed. Through better knowledge about when and where crimes occur, the police can analyse what it is about these places that facilitates crime. But, the danger of creating fear, without engaging the complexity of each technology, means that otherwise worthy arguments can be too easily defeated. 3 comments. Part public health approach … I have to prep this topic for over the summer practice rounds with my teammates, and I would really appreciate any basic arguments/suggestions/ideas any of you have for both aff and neg on this topic. We will write a custom Report on Predictive Policing specifically for you for only $16.05 $11/page. Predictive policing is an umbrella term to describe law enforcement’s use of new big data and machine learning tools. “In jurisdictions that have well-established histories of corrupt police practices, there is a substantial risk that data generated from such practices could corrupt pred save hide report. Predictive policing is based on the assumption that it is not entirely random where and when crimes take place; rather that they are often concentrated in particular places and at particular times. But Is It Biased? The Los Angeles Police Department is using "predictive policing" to prevent crime, but this innovative approach has its problems. And predictive policing continues to be a popular target for research all over the world. Resolved: Predictive policing is unjust. Person-based predictive policing involves the use of data to identify and investigate potential suspects or victims. It helped to foster cooperation between the police and the public. Resolved: Predictive Policing is unjust. Obviously Aff has an advantage here - they can argue it infringes on civil rights, it’s inherently racist & islamophobic, it doesn’t have a good track record, etc. Predictive policing — the application of analytical techniques, particularly quantitative techniques, to identify promising targets for police intervention and prevent or solve crime — can offer several advantages to law enforcement agencies. 5 months ago. New comments cannot be posted and votes cannot be cast. The resolution, released by the National Speech and Debate Association on February 1, 2020, is: And when you start asking the hard questions about. The Fourth Amendment forbids police from stopping someone without reasonable suspicion — a specific, individualized determination that is more than just a hunch. It is important to keep in mind that a hot spot is a perceptual construct. Predictive “hot spots” become targets for intensive police surveillance. All the while, CPD had been using its own predictive policing system, which has existed in some form since at least 2012. Policing that is smarter, more effective, and more proactive is clearly preferable to simply reacting to criminal acts. Other examples showed significant risks of overlap but because government use of predictive policing systems is often secret and hidden from public oversight, the extent of the risks remains unknown, according to the study. Predictive policing poses discrimination risk, thinktank warns This article is more than 1 year old Machine-learning algorithms could replicate or amplify bias on race, sexuality and age View predictive policing supplement.pdf from LD 101 at Chaminade High School. in your city now. View predictive policing neg.pdf from ENGLISH 1005370 at Seminole Ridge Community High School. Opposition groups even gathered academics to speak out against the use of PredPol. Predictive Policing Dr. Janet Durgin Information Systems for Decision Making October 20, 2013 Introduction Predictive policing refers to any policing strategy or tactic that develops and uses and advanced analysis to inform forward-thinking crime prevention. Resolved: Predictive policing is unjust. Big Sky Debate is pleased to release its March-April 2020 NSDA Lincoln- Douglas resources on predictive policing! PURCHASE AND DOWNLOAD RIGHT NOW!! The first focused on the concept of predictive policing. • Predictive policing is the application of analytical tech-niques to identify promising targets for police intervention, with the goal of reducing crime risk or solving past crimes. Predictive policing results in racial profiling because it reproduces flaws and biases in police data. 100% Upvoted. UCLA Study Proves Predictive Policing Successful in Reducing Crime Over Several Months of Deployment with The LAPD. 301 certified writers online. share. Last month, for example, researchers in Wales at the Social Data Science Lab at Cardiff University received an $800,000 grant from the U.S. Department of Justice to come up with a predictive policing model for Los Angeles — specifically, for hate crimes. Predictive Policing Essay 1538 Words | 7 Pages. • Predictive policing techniques can be used to identify places and times with the highest risk of crime, people at risk of being offenders or victims, and people who most likely committed a past crime. Predictive policing, with its methods to highlight hot spots to locate police presence not to stop a crime when it is happening but preventing it before it has even started or to identify risk subject and intervene before they are on harm’s way, seems to fit very well under this definition. Honest conversations are hard. Targeted “hot people” become suspects. 1113 Carolina, Washington, Tennessee, Florida, Pennsylvania, and New York, among others, have purchased new predictive policing software to combat property crimes such as burglaries, car thefts, and thefts from automobiles. NIJ convened two symposium to discuss predictive policing and its impact on crime and justice. I stand in the strongest negation of the following resolved: Predictive Policing is Unjust For this Data from past crimes, including crime types and locations, are fed into a 5. Does Predictive Policing Lead to Biased Arrests Results From a Randomized Controlled Trial Book Description : ABSTRACT: Racial bias in predictive policing algorithms has been the focus of a number of recent news articles, statements of concern by several national organizations (e.g., the ACLU and NAACP), and simulation-based research. Police have embraced predictive analytics and data-driven metrics to improve law enforcement tactics, practice, and strategy. Thank you . In fact, new entrants into the predictive policing field have begun advertising themselves as offering solutions to the problem of racial bias in the data. Rather than informing us where criminals will be and when they will commit crimes, these algorithms more reliably predict where the police will deploy. Learn More. 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