The Role of Artificial Intelligence in Modern Criminal Justice System: Opportunities and Challenges

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Gurbinder

Abstract

Artificial Intelligence (AI) is increasingly transforming the criminal justice system by enhancing various facets such as law enforcement, judicial processes, and crime prevention. AI-driven tools, including predictive policing algorithms, risk assessment instruments, and facial recognition systems, provide the opportunity to increase the effectiveness and precision of criminal justice operations. For instance, AI can analyze vast datasets to identify crime patterns, assist in forensic investigations, and support decision-making in judicial proceedings. Nevertheless, there are many obstacles to overcome before AI may be successfully incorporated into the criminal justice system. The possibility of algorithmic bias is one of the main worries, since AI systems may unintentionally reinforce preconceptions already in previous data, resulting in discriminatory actions against particular demographic groups. Additionally, issues related to transparency and accountability arise, as the proprietary nature of many It might be challenging to evaluate the fairness and dependability of AI algorithms because their decision-making processes can be obscured. Privacy concerns are also paramount, especially with AI applications that involve surveillance and data collection, which may infringe upon individual rights. This study attempts to investigate the two facets of artificial intelligence's function in contemporary criminal justice by looking at both the advantages and disadvantages of the technology. Through a critical analysis of current AI applications in law enforcement and  judicial contexts, the paper will assess the effectiveness of these technologies in achieving their intended outcomes. Furthermore, it will delve into the ethical, legal, and social implications of AI deployment in criminal justice, considering how to balance technological advancements with the protection of civil liberties. By evaluating case studies and existing literature, the paper seeks to provide a comprehensive understanding of how AI can be harnessed responsibly to enhance the criminal justice system while mitigating potential risks.

Article Details

How to Cite
Gurbinder. (2025). The Role of Artificial Intelligence in Modern Criminal Justice System: Opportunities and Challenges. International Journal of Advanced Research and Multidisciplinary Trends (IJARMT), 2(1), 709–717. Retrieved from https://www.ijarmt.com/index.php/j/article/view/289
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Articles

References

The Society for the Study of Artificial Intelligence and Simulation of Behaviour, “What is Artificial Intelligence.”

European Commission, ‘Artificial Intelligence for Europe’, cit., 1.

McCarthy, C. (2019). AI in policing and criminal justice. Digital Policy, Regulation and Governance, 21(3), 256-263. https://doi.org/10.1108/DPRG-05-2019-0034

Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias: There’s software used across the country to predict future criminals. And it’s biased against blacks. ProPublica. Retrieved from https://www.propublica.org/article/machine-bias-risk- assessments-in-criminal-sentencing

O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.

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