Legal And Ethical Challenges Of AI In Law Enforcement And Surveillance

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Manisha D, SRM University

ABSTRACT

The use of artificial intelligence (AI) in law enforcement and surveillance is rapidly expanding, offering significant advancements in crime prevention, public safety, and investigative efficiency. AI-powered tools such as facial recognition, predictive policing, and automated surveillance systems enable authorities to analyze vast amounts of data, identify potential threats, and enhance decision-making processes. However, these technological developments also raise critical legal and ethical concerns.

To address these challenges, it is crucial to establish comprehensive regulatory frameworks that govern the responsible use of AI in law enforcement. This includes ensuring transparency, accountability, and fairness in AI algorithms, protecting privacy rights through data protection laws, and implementing mechanisms for oversight and redress. Additionally, ethical AI development and deployment must prioritize human rights, public engagement, and fairness to maintain the balance between security and individual freedoms.

This article examines the evolving role of AI in law enforcement and surveillance, analyzing its legal and ethical implications while exploring potential policy solutions. By fostering responsible AI governance, societies can harness the benefits of AI-driven law enforcement while safeguarding fundamental rights and promoting justice.

Keywords: Artificial Intelligence (AI), Law Enforcement, Surveillance, Facial Recognition, Predictive Policing, Privacy Rights, Data Protection, Algorithmic Bias, Transparency, Accountability.

LEGAL AND ETHICAL CHALLENGES OF AI IN LAW ENFORCEMENT AND SURVEILLANCE.pdf

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