Abstract

This dissertation examines the potential of Artificial Intelligence (AI) to enhance crime reduction efforts by the Dubai Police. As Dubai continues to grow and new technologies emerge, integrating AI into Dubai Police represents a significant opportunity to improve operational efficiency, predictive policing, and data-driven investigations. However, this integration also raises critical ethical and privacy concerns that must be addressed to ensure responsible use. The rapid development of AI technologies offers promising solutions for modernizing crime prevention and Dubai Police strategies. Dubai, with its advanced technological infrastructure and forward-looking governance, is an ideal context for exploring these innovations. The effective use of AI could transform policing practices, making them more proactive and efficient, thus enhancing public safety in a rapidly evolving urban environment. Despite the potential benefits, there are substantial gaps in the current research regarding the societal impacts of AI on Dubai Police. There is a need for more empirical studies that evaluate the practical applications of AI in policing, particularly concerning ethical and legal implications. Additionally, existing frameworks need comprehensive guidelines for ensuring AI systems' transparency, accountability, and fairness in law enforcement. The research found that AI integration significantly enhances Dubai Police operational efficiency and predictive capabilities. However, it also identified critical ethical and privacy challenges, such as potential biases in AI algorithms, risks to individual privacy, and the need for robust regulatory frameworks. These challenges necessitate careful consideration and proactive measures to ensure that AI's benefits are realized without compromising ethical standards and human rights. This study aims to contribute valuable insights into the strategic implementation of AI in crime reduction efforts, providing a roadmap for future innovations in law enforcement practices in Dubai.

Publication Date

8-20-2024

Document Type

Thesis

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Sanjay Modak

Advisor/Committee Member

Ozcan Saritas

Campus

RIT Dubai

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