ABSTRACT
This study compares predictive policing technologies between the USA and India to understand the relationship between artificial intelligence (AI) technologies and policing practices. The study reveals the implications of AI in policing at a time when concerns about systemic bias and civil liberties related to AI are prominent. This section details how predictive policing evolved from the NYPD's CompStat to modern AI-enabled systems to illustrate how the influences of operational needs and past influences have led to the implementation of this technology. This study adopts a methodological approach where the researcher provides prospective case studies from real-world uses of predictive policing, and the methods are matched with a qualitative review of the literature and existing policy papers. The study is preventative by emphasising community engagement and accountability to eliminate the disproportionate impacts that policing has on already marginalised people. The study provides practical recommendations for law enforcement organisations to ethically adopt an AI technology and preserve public trust, while engaging wider public discussion about the ethical implications of using available public data for surveillance purposes. Ultimately, the study promotes a balanced discussion about how we want our policing approach to evolve in an increasingly automated context.
