Srivastava, Nisheeth and Verma, Arvind
Practical artificial intelligence applications for Indian police - The Indian Police Journal - 69(1), Jan-Mar, 2022: p.14-25
In this article, we briefly survey the potential for artificially intelligent systems in supporting the core policing functions of surveillance, patrolling, investigation and control. It also describes applications of such systems for improving organizational efficiency and accountability in the Indian Police system, using already available data within Police records. We present, in support of these prescriptions, case examples of ML-based systems that have been developed at IIT Kanpur over the past three years in support of these functions. Based on the gap identified between technology readiness levels and Police requirements, we further argue that Police agencies need academic partners in adopting such systems and describe the setting up of a research center at IIT-K to promote research on Criminal Justice issues and to work closely with Police agencies. We conclude with a pragmatic appraisal of the limitations of artificially intelligent systems in supporting Police functions and present a roadmap for evidence-based integration of such systems into Indian Police forces.-Reproduced
https://bprd.nic.in/WriteReadData/userfiles/file/202309181225361531209Jan-March_2022.pdf
Practical artificial intelligence applications for Indian police - The Indian Police Journal - 69(1), Jan-Mar, 2022: p.14-25
In this article, we briefly survey the potential for artificially intelligent systems in supporting the core policing functions of surveillance, patrolling, investigation and control. It also describes applications of such systems for improving organizational efficiency and accountability in the Indian Police system, using already available data within Police records. We present, in support of these prescriptions, case examples of ML-based systems that have been developed at IIT Kanpur over the past three years in support of these functions. Based on the gap identified between technology readiness levels and Police requirements, we further argue that Police agencies need academic partners in adopting such systems and describe the setting up of a research center at IIT-K to promote research on Criminal Justice issues and to work closely with Police agencies. We conclude with a pragmatic appraisal of the limitations of artificially intelligent systems in supporting Police functions and present a roadmap for evidence-based integration of such systems into Indian Police forces.-Reproduced
https://bprd.nic.in/WriteReadData/userfiles/file/202309181225361531209Jan-March_2022.pdf