Adopting Artificial Intelligence-Based Predictive Policing in Nigeria

Nigeria's criminal landscape is characterised by various crimes, violence, terrorism, political unrest, and alienation of citizens. Nigeria ranked fifth in Africa and twelfth globally in terms of genocide risk as of the end of 2023. With a population of more than 200 million, a high rate of child mortality, continuous deaths from battle, the nation's own history of mass murder, and ethnic fragmentation all contribute to this risk. The conventional policing techniques in Nigeria has not provided adequate crime mitigation due to several factors. This paper canvases the concept and implementation of Artificial Intelligence policing or predictive policing, which is a technique that involves gathering and analysing data from multiple sources, then applying the findings to better predict, mitigate, respond, and react to future crimes while effectively allocating resources. The author determined important police domains where AI has the potential to be highly beneficial because of this research. This paper offers a thorough analysis of the literature and qualitative research methodology with an emphasis on investigating the artificial intelligence strategies used by law enforcement. It provides a roadmap for future creative solutions and advances, understanding of the possible advantages and difficulties of incorporating AI into policing practice. The privacy and legal concerns around the use of AI in law enforcement are the research's main constraints. The paper additionally, provides a summary of the primary features of the predictive policing schemes that are now recognised and its applicability to Nigeria. One of the major constraints to this technological implementation is the epileptic energy supply in Nigeria.