Writing1Policing

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Arizona State University *

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Law

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Apr 3, 2024

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docx

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Sadie Holtz Writing Assignment 1 Publicly disclosing data related to incidents where officers discharge their weapons has both advantages and disadvantages. Benefits include promoting transparency, enhancing public trust, and fostering accountability within law enforcement. Access to this data can help communities understand how, when, and why force is used, enabling informed discussions and evidence-based decision-making (McEwen). It can also act as a check on potential abuse of power and unethical behavior. However, there are drawbacks to consider. Public disclosure can infringe on the privacy of officers involved and the individuals affected by these incidents. Incomplete or misinterpreted data may lead to misconceptions about specific cases, potentially inciting public outrage, or misjudgment (McEwen). Moreover, officers might hesitate to use force when necessary due to fear of excessive scrutiny, which can compromise their safety and effectiveness in high-stress situations. Striking a balance between transparency and protecting individual rights and officer safety is essential when considering the public disclosure of such sensitive data. Within law enforcement, procedural justice emphasizes fairness, respect, and equity in police interactions (The Justice Collaboratory). Two key initiatives to enhance procedural justice and public trust include community policing programs, which promote community engagement and collaborative problem-solving, and the adoption of Body-Worn Cameras (BWCs). BWCs increase transparency and accountability by providing objective records of police interactions, ensuring fairness in law enforcement actions, and reinforcing public trust in the police (Sytsma et al.). These initiatives work together to create a more equitable and respectful environment in
policing, building stronger community relationships and improving the overall perception of law enforcement agencies. Along with this, cutting-edge technological advancements have begun shaping modern law, two advancements include predictive policing and facial recognition technology. Predictive policing uses data and algorithms to forecast crime hotspots, allowing for efficient resource allocation. However, it raises privacy concerns as it can disproportionately target certain communities based on historical data (Lau). Facial recognition technology enables swift and accurate identification, aiding in locating suspects and enhancing security. Its use, though, sparks worry about mass surveillance and false positives, potentially infringing on privacy and civil liberties. The balance between leveraging these technologies to improve public safety and safeguarding individual rights is crucial. Regulation and community involvement should guide their responsible use, ensuring that these tools do not compromise personal freedoms and privacy in the pursuit of law enforcement goals (Lee and Chin). Over recent years, there has been a gradual shift in the racial, ethnic, and gender makeup of police departments across the United States. Efforts to increase diversity within law enforcement have resulted in more inclusive hiring practices and a workforce that better reflects the communities they serve. This transformation can indeed contribute to the enhancement of policing. A more diverse police force is often better equipped to build trust and establish connections within diverse communities. It can help reduce biases and stereotypes, fostering a more respectful and equitable approach to law enforcement. Additionally, a diverse police department is more likely to understand and respect the cultural norms and sensitivities of various communities, which leads to improved community relations (“ADVANCING DIVERSITY in LAW ENFORCEMENT”).
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