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Communication Dans Un Congrès Année : 2020

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

Résumé

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.
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hal-03701800 , version 1 (22-06-2022)

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Praveen R.S. Gummadidala, Nanda Kumar Karippur, Maddulety Koilakuntla. Analysis of Factors Influencing the Adoption of Artificial Intelligence for Crime Management. International Working Conference on Transfer and Diffusion of IT (TDIT), Dec 2020, Tiruchirappalli, India. pp.3-9, ⟨10.1007/978-3-030-64849-7_1⟩. ⟨hal-03701800⟩
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