Regulating Artificial Intelligence In Criminal Justice: Striking A Balance Between Efficiency And Fair Use In Evidence Collection
- IJLLR Journal
- Apr 19
- 1 min read
Ankush Sharma, NLU Patiala
I. INTRODUCTION
Artificial Intelligence (AI) involves the development of computer systems capable of performing tasks that typically necessitate human intelligence, such as perception, reasoning, and decision-making. Its applications span across various domains, including virtual assistants, fraud prevention, and self-driving vehicles. Artificial Intelligence holds the potential to transform India’s legal system by enhancing operational efficiency, optimizing procedures, and significantly cutting down the expenses associated with conventional legal processes. This technological shift could modernize the legal landscape, making it more accessible and costeffective. The origin of the concept of Artificial Intelligence (AI) traces back to 1955, when the term was first introduced by John McCarthy, Marvin L. Minsky, Nathaniel Rochester, and Claude E. Shannon in their seminal work titled, A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence.1
Artificial Intelligence has revolutionized the criminal justice system, promising heightened efficiency and precision in areas such as evidence collection, predictive policing, and forensic analysis. However, the deployment of Artificial Intelligence in criminal justice raises profound questions about fairness, ethical governance, and potential biases, given its influence on judicial outcomes. Striking a balance between AI’s operational efficiency and ensuring its ethical and fair application is critical to maintaining trust in the judicial system. This paper delves into legal arguments regarding the use of Artificial Intelligence in evidence collection, addressing the challenges, safeguards, and regulatory frameworks needed to avoid infringement of constitutional rights and the risk of injustice.
