Pros And Cons Of Predictive Policing

I believe if the Kansas City Preventive Patrol Experiment was conducted today different results would be revealed due to the fact that police strategies and tactics have changed over the years in response to changes in society, public pressures, aren research. Police executives must continually reassess their organizational technology and make adjustments to improve the attainment of the goals of protecting life and property and maintaining order. Today, the knowledge base related to what works in policing is much farther along in it development than even a decade ago, making it possible for police executives to strive toward the objective of evidence-based policing (Cordner, 2016). Moreover, evidence-based policing does not replace

The field of police work is constantly being forced to develop and improve its protocols, procedures, and practices in an effort to keep pace with the ever-changing society in which it operates and criminal behavior it seeks to eradicate. While the history of policing has been marked by substantial changes throughout time, the work of modern-day police officers and officials demonstrate some of the most substantial adaptations to its surrounding environment that the field has ever seen. In order to understand where the future of policing is heading, it is important to first understand these current trends that are affecting the current landscape of the profession. By

The first con for community policing is some departments are using the term as an aggressive law enforcement tactic in certain areas. Cops could use for showing their presence among the people where there is no need for them. The community does not know what is going on and the cops are keeping the people in the dark that cerate distrust among everyone. Now you have resentment among both police and the local people. Might be seen as harassment by police when show aggressive.

Profiling is something that every person has or will do at some point in their life; some may even profile without even realizing it. There are various forms of profiling which will be discussed, along with the history behind profiling and how it has been used successfully by Law Enforcement in several areas as a field on investigation (Douglass, Ressler &Burgess, 1986). Profiling has various positives along with negatives, and these are accepted by Satzewich and Shaffir (2009) who suggest that racial profiling is best understood in the context of a police subculture where these police officer intergrade profiling as part of their every day work routine. Profiling is a big factor in the daily work of every Law Enforcement Officer and it cannot be avoided (Becker, 2004). For the most part profiling is seen as part of an officers daily investigative tools, from border searches, to pulling vehicles over for traffic citations the officers will use his or her discretion on those who arouse their suspicion (Rose, 2002). Therefore, this paper will analyze the overall effectiveness of profiling and how it either proves to successfully reduce crime or not (Rose, 2002).

In the past, it has been shown that criminal profiling does work and has helped to apprehend serial killers, rapists, arsonists, and other criminals, if it had proved to be ineffective the FBI would have put resources into other tactics, but they have not. That being said, it is apparent that criminal profiling does work to an extent, but the amount of accuracy remains unknown. Although there has been research into finding the accuracy of criminal profiling there has not been a lot, proving that it is a field that needs more attention. For the research that has been done, interest has tended to fluctuate because of the uniqueness of the topic. Criminal profiling has as much to do with inferences about the perpetrator as it does

Moving along, one of the biggest issues and trends facing law enforcement today and in the future is the use of technology. Today, police organizations have access to a wide range of technological tools, and they are continually advancing and improving. Some of these include records management systems, computer-aided dispatch, GPS technology, license plate readers, biometrics (facial recognition software, for example), crime mapping via geographical information systems, and less-than-lethal weapons (Tasers, beanbag rounds, tear gas,

In 1994, the New York City Police Department adopted a law enforcement crime fighting strategy known as COMPSTAT (COMPuter STATistics). COMPSTAT uses Geographic Information Systems (GIS) to map the locations of where crimes occur, identify “ hotspots”, and map problem areas. COMPSTAT has amassed a wealth of historical crime data. Mathematicians have designed and developed algorithms that run against the historical data to predict future crimes for police departments. This is known as predictive policing. Predictive policing has led to a drop in burglaries, automobile thefts, and other crimes in some cities.

It is hard to say whether racial profiling is ethical or not. Profiling based on gender, race, or ethnicity is just the way our minds work; it’s natural. We create ‘profiles’ of how we expect things to be by quickly recalling our past experiences. We know that not every experience will fit into the profiles we make in our heads- but a lot of them do. Whether we like it or not, racial profiling has a place in today’s society in regards to crime solving and prevention.

The field of police work is constantly being forced to develop and improve its protocols, procedures, and practices in an effort to keep pace with the ever-changing society in which it operates and criminal behavior it seeks to eradicate. While the history of policing has been marked by substantial changes throughout time, the work of modern-day police officers and officials demonstrate some of the most substantial adaptations to its surrounding environment that the field has ever seen. In order to understand where the future of policing is heading, it is important to first understand these current trends that are affecting the current landscape of the profession. By

Racial profiling is a controversial issue that still occurs in today’s society. For some time, policemen have used racial profiling to determine those at fault during criminal activity. However, racial profiling must be stopped because it shows ineffectiveness and is embarrassing for the victims. Law enforcement should not be allowed to be discriminative towards a race solely because of their appearance and instincts. Minorities must be protected at all costs in order to have all the American values be fulfilled. Therefore, we need to have more people realize that racial profiling is not an effective system and instead demoralizes people of color. While some believe racial profiling can help stop crime, criminal behavior cannot be determined through the process of racial profiling; therefore, we must gain awareness to help put the end to this major issue.

In addition, to the assessed challenges already listed, is the concern with potential ethical issues that surround intelligence-led policing. A valid argument is that the predictive nature of intelligence-led policing mirrors an awful lot of the police profiling aspect and may lead to the violations of civil liberties. As new technology is developed and utilized it is important to discuss the ethical implications of utilizing

By making police programs, police performance could improve so police would know what to do in certain situations, so they could make less mistakes. People can protest and boycott until changes are made. Simon claims that “In the end, the use of body cameras should both reduce the use of force and lessen the need and the opportunity to lie about it. Encouraging evidence that supports this has already been obtained in studies conducted with police departments in the field” (Simon). With body cameras in the presence of police altercations, it will prevent officers from using unnecessary force and if it is used,it will lessen the need to lie about it if it was caught on camera.

throughout law enforcement agencies and has left the public with doubts about their protectors. Profiling has broken the trust people have in the Police and has caused fear amongst.

In preparation for my debate on the topics of intelligence-led policing and Compstat policing, I have discovered the many advantages and disadvantages of using intelligence-led policing and Compstat policing. According to Carter & Carter (2009), intelligence-led policing is the collection of and analysis of data relating to crime, used by law enforcement in “developing tactical responses to threats and/or strategic planning related to emerging changing threats” (p. 317). When applied correctly, intelligence-led policing is a tool used for information sharing in identifying threats and developing responses to prevent those threats from reaching fruition (Carter, 2011). One of the advantages of using intelligence-led policing is its incorporation of data analysts. The role of the data analyst in the context of intelligence-led policing allows them to take specially trained analysts to take raw data from information found in reports and translate it into useful information for the officers, allowing the police to deploy resources more effectively and efficiently (Griffiths, 2016). Another advantage is its application through preventative and predictive policing (proactive policing), in which law enforcement take data and identify crucial variables such as terrorism or the emergence of criminal organizations, in hopes of stopping the problem at its roots (Carter, 2011). Terrorism is especially important and emphasized after the 9/11 terrorist attack on the World Trade Centers in

People often think that if there’s science that supports the systems, it would be accurate. However, the information the systems take in is not just at all. In order to support my argument, I want to point out that there are cases where colored people are in a disadvantage for more likely to be accused even though the white are doing the same thing. For instance, the police has always targeted more on black people than on white people on trafficking. Because the crimes that took place in the past are not in favored of black people, there are more cases against them. Therefore, the systems sort through the data and conclude that black people are more likely to commit the same type of crime, and suggesting the police put more attention on them. If the read-in information is not bias-free, how can the prediction be just to everyone? My second argument is that neural networks violate people’s privacy when they collect information from social media or any other means without their consent. Although some predictive policing software only allow the police to predict the type, time, and location of a crime, other police systems are used without protecting people’s right for privacy. Our data, posts, information, and pictures are being looked over by the predictive policing systems without us knowing or agreeing upon it. Therefore, it is not fair for the police to search our