International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 07 | July 2024
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p-ISSN: 2395-0072
The Role of Data Management and Engineering in Modern Law Enforcement: Opportunities and Challenges Ramalakshmaiah Panguluri Alagappa University, India -------------------------------------------------------------------------***------------------------------------------------------------------------
Abstract This article examines the profound impact of data management and engineering on modern law enforcement practices, exploring both the transformative benefits and the ethical challenges associated with these technologies. It delves into the advanced analytics employed in crime prevention and resolution, highlighting real-time data processing capabilities, pattern identification, and predictive analytics that have revolutionized policing strategies. The article discusses the significant benefits of data-driven law enforcement, including enhanced crime-solving techniques through the integration of diverse data sources, proactive policing measures enabled by predictive tools and crime mapping, and improved transparency and accountability through data-driven decision-making. However, the article also critically addresses the concerns and ethical considerations surrounding these practices, such as privacy issues stemming from extensive data collection, the potential for algorithmic bias and its disproportionate impact on certain communities, and the broader ethical implications of data use in policing. Furthermore, the study provides a comparative analysis with the education and creative fields, illustrating similarities in transformative potential while highlighting the unique ethical considerations in these domains. By synthesizing current research and real-world applications, this comprehensive exploration aims to provide a balanced perspective on the role of data management and engineering in law enforcement, emphasizing the need for responsible implementation that balances technological innovation with the protection of civil liberties and the promotion of equitable policing practices. Keywords: Data-Driven Policing, Predictive Analytics in Law Enforcement, Algorithmic Bias in Criminal Justice, Privacy and Surveillance Ethics, Big Data in Public Safety
I. Introduction The rapid advancement of information technology has ushered in an era where data management and engineering play pivotal roles across various sectors of society. In the realm of law enforcement, these technological innovations have become particularly transformative, offering unprecedented capabilities for crime prevention, investigation, and resolution. As law enforcement agencies increasingly adopt data-driven approaches, they find themselves at the intersection of cutting-edge technology and complex ethical considerations.
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