Artificial Intelligence and Predictive Models Increasingly Transform Criminology by Forecasting Criminal Behaviour

• In Event: Computational Methods in Criminal Justice Settings

Abstract

Recent advances in artificial intelligence (AI) and machine learning have catalyzed significant changes in the field of criminology. This study explores the integration of advanced computational algorithms with traditional criminological theories to enhance predictive policing and criminal profiling methods. By leveraging large-scale data analytics and pattern recognition techniques, the proposed models aim to identify potential criminal activity before its occurrence, thereby facilitating timely and informed law enforcement interventions. The paper examines several case studies where machine learning algorithms successfully detected anomalous patterns and improved the accuracy of risk assessments. Furthermore, the ethical implications of using AI in crime prediction are critically analyzed, with attention to issues of privacy, bias, and accountability. The discussion highlights the balance between technological innovation and the protection of individual rights, suggesting frameworks for mitigating adverse impacts. Overall, this research contributes to a deeper understanding of how emerging technologies can transform criminological practices, offering novel insightsinto the predictive analysis of criminal behavior while advocating for responsible and ethical application of AI-based tools in law enforcement. These findings underscore the transformative potential of integrating computational methods with criminological inquiry, paving the way for future research.

Keywords: Artificial Intelligence, Machine Learning, Predictive Policing, Criminal Profiling, Ethical Implications

Author

• Maria Angeli, Independent Researcher