Krishna Rao Alaparthi, LL.M (Criminology & Criminal Justice System), LL.M (Corporate and Securities Laws), Osmania University, Hyderabad.
Samraji Himabindu, LL.M (Corporate and Securities Laws), P. G. Diploma in Cyber Laws (NALSAR)., Osmania University, Hyderabad.
ABSTRACT
Artificial Intelligence (AI) is not just a technological marvel; it is rapidly becoming a pivotal force in reshaping the criminal justice system. From predicting crimes before they happen to influencing the fate of individuals in courtrooms, AI’s integration promises a revolution in how justice is administered.
On one hand, AI tools like predictive policing algorithms and risk assessment systems have the potential to reduce crime and ensure more informed judicial decisions. These tools can analyze vast amounts of data to identify patterns and trends that humans might miss, leading to more effective crime prevention strategies and fairer sentencing. Imagine a world where law enforcement agencies can anticipate criminal activities and intervene before they occur, or where judges can make decisions based on comprehensive data analysis rather than subjective judgment.
On the other hand, these same tools risk perpetuating existing biases, lack transparency, and raise serious concerns about accountability and civil liberties. AI systems are only as good as the data they are trained on, and if that data reflects societal biases, the AI will too. This could lead to discriminatory practices and unjust outcomes. Moreover, the opaque nature of AI algorithms undermine trust on judiciary.
This paper explores the profound impact of AI on various organs of the Criminal Justice System like Police, Prosecution, and Judiciary. Also, highlights six essential principles of responsible AI (Fairness, Reliability & safety, Privacy & security, Inclusiveness, Transparency & Accountability).
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