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Future-Forward Policing: Harnessing Ai And Data Protection Insights From The Eu For A Safer India
Sat, September 6, 9:30 to 10:45am, Communications Building (CN), CN 2111Abstract
The emergence of a technology-driven society raises concerns over the use of AI-based predictive policing in law enforcement. Especially with the right to privacy, algorithmic prejudice, and the danger to fundamental rights. The objective of this research is to evaluate the efficacy of predictive policing systems in India and the EU, which represent one of the most effective mechanisms globally for safeguarding individual data. Highlighting their alignment with fundamental rights and human rights norms.
Predictive policing has garnered attention recently; yet, the current research inadequately examines its ethical, legal, and societal implications. Existing research demonstrates the discrimination inherent in systems, biased algorithms, and privacy violations; nevertheless, it lacks a comparison and insights into the development of AI control systems in India relative to the EU's General Data Protection Regulation (GDPR) framework. This research is pertinent for addressing the gap by examining the legislative framework and identifying issues related to supervision, transparency, and accountability.
This article integrates an examination of case studies that illustrate the advantages and disadvantages of using AI in law enforcement. It examines significant judicial cases such as Ankush Maruti Shinde v. State of Maharashtra (2019) and Big Brother Watch v. UK (2021). Case studies of Delhi's CMAPS and Hyderabad's IPI Hub examine the efficacy and inequities of AI-driven policing.
The report anticipates a future in which AI policing incorporates robust safeguards for human rights and ethical principles. In summary, AI can fundamentally transform crime prevention; nevertheless, its use in law enforcement must prioritize human rights and ethical governance. This would provide a framework for the proper use of AI in both India and the EU.