ARTIFICIAL INTELLIGENCE AND THE EVOLUTION OF CRIME PREVENTION: THE ROLE OF FACIAL RECOGNITION IN URBAN SAFETY
Keywords:
Artificial Intelligence, Crime Prevention, Facial Recognition, Predictive Policing, Urban Surveillance, Smart Cities, AI Ethics.Abstract
Artificial Intelligence (AI) technologies, particularly facial recognition systems, are playing a transformative role in modern urban crime prevention. This article investigates how AI is reshaping crime prevention strategies by enabling real-time surveillance, predictive policing, and enhanced forensic analysis. Drawing on recent case studies and system implementations in smart cities, the research analyzes the capabilities and limitations of AI-driven surveillance. It highlights the growing reliance on AI to identify high-risk behavior, allocate policing resources more efficiently, and solve crimes with greater speed and accuracy. The study also addresses ethical concerns, including data privacy, algorithmic bias, and governance challenges. The findings suggest that while AI provides valuable tools for urban safety, its deployment must be carefully regulated to protect civil liberties and public trust. Recommendations are made for integrating AI technologies with ethical and legal frameworks for responsible, effective use in crime prevention.
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