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Analysis of Factors Influencing the Adoption of Artificial Intelligence for Crime Management

机译:影响犯罪管理人工智能的因素分析

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Despite the benefits of Artificial Intelligence (AI) and its potential to produce deep insights and predictions, its adoption and usage are still limited in the area of crime management. Over the years, crime rates have been increasing in India, and law enforcement agencies face enormous challenges given the increasing population, urbanization, limited resources, and ineffective conventional models of reactive and investigative policing. There is an unprecedented opportunity for AI to be leveraged together with new policing models such as intelligence-led policing and predictive policing for effective crime management. In this research-in-progress paper, we offer a deeper understanding of factors significant for the adoption intention of AI for crime management in India. Further, on the practical front, the study will help law enforcement agencies to effectively leverage AI and implement innovative policing models for crime management.
机译:尽管人工智能(AI)的好处及其产生深层见解和预测的潜力,但其采用和使用仍然有限于犯罪管理领域。 多年来,犯罪率在印度越来越大,执法机构在人口,城市化,资源有限和无效和调查监管的无效模型中,鉴于增加的人口,城市化,有限的常规模式,面临巨大挑战。 有一个前所未有的机会与新的政策模型一起利用,如情报导向的监管和有效犯罪管理的预测警务。 在这篇论文中,我们对印度犯罪管理采取意图提供了更深入的理解。 此外,在实用的前沿,该研究将有助于执法机构能够有效利用AI,并为犯罪管理实施创新的监管模式。

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