Role Of Artificial Intelligence In Criminal Predictive Behaviour

Vanshika, GGSIPU, Delhi

ABSTRACT

This paper explores the intersection of artificial intelligence (AI) and predictive analytics in the realm of criminal behavior forecasting. The advent of AI has revolutionized many sectors, including criminal justice, where predictive models are increasingly employed to anticipate criminal activity. These models analyze vast datasets encompassing demographic information, social media activity, and historical crime data to identify individuals at higher risk of committing crimes. Proponents argue that such predictive tools can significantly enhance public safety by enabling early interventions and more efficient allocation of law enforcement resources. However, the use of AI in predicting criminal behavior also raises significant ethical and legal concerns. Key issues include potential infringements on privacy, the perpetuation of systemic biases inherent in the training data, and challenges to fundamental principles of justice such as due process and the presumption of innocence. The reliability of predictive models remains contentious, given the complexity of human behavior and the risk of oversimplification. This study underscores the necessity of balancing the benefits of predictive analytics in crime prevention with the imperative to uphold individual rights and prevent discrimination. It calls for rigorous scrutiny, transparency, and accountability in the deployment of AI within the criminal justice system to ensure ethical use while striving for a just and equitable society.