📄 Abstract
The integration of artificial intelligence (AI) into policing has advanced significantly since the 1950s, with applications ranging from crime prediction to facial recognition. AI's role in enhancing public safety, resource allocation, and monitoring police behavior is increasingly recognized. However, the Philippine National Police (PNP) faces both opportunities and challenges in adopting AI, necessitating thorough exploration. This study examines PNP personnel's awareness of AI, the extent of their formal AI training, perceived benefits and barriers to AI adoption, and recommendations for improving AI integration. Survey results show that while most PNP personnel are aware of AI's role in policing, there are significant gaps in understanding specific applications like data analysis and crime prediction. Formal AI training within the PNP is notably lacking and often perceived as inadequate. Despite these deficiencies, respondents acknowledge AI's potential administrative and operational benefits. However, barriers such as insufficient training, communication gaps, heavy workloads, and skepticism about AI effectiveness hinder broader adoption. Respondents strongly agree on the need for more formal training, improved internal communication, leadership support, and regular awareness campaigns to facilitate AI integration. Addressing these gaps through structured training programs, better communication strategies, and supportive leadership can enhance AI's effective use in police work.
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📚 How to Cite:
Rhem Rick N. Corpuz , ENHANCING AI ADOPTION IN LAW ENFORCEMENT: A STUDY OF AWARENESS, TRAINING, AND PERCEPTIONS WITHIN THE PHILIPPINE NATIONAL POLICE , Volume 11 , Issue 5, may 2025, EPRA International Journal of Multidisciplinary Research (IJMR) , DOI: https://doi.org/10.36713/epra21627