Sixteenth International Conference on Technology, Knowledge & Society

Abstract

This research is a focused investigation into the potential costs and benefits of object-detection artificial intelligence (AI) in policing, specifically concerned with how this technology will be implemented in community parking lots. The fundamental queries within the project are as follows: How does object detection AI create safer public spaces? What are the main limitations of such technology in the context of modern communities and their concerns? What are the best practices for the implementation of this technology into policing? Finally, how does the community respond to this application of AI? The research includes a strong focus on the balance between public safety, community relationships, and civil liberty infringements. To investigate the technology’s potential costs/benefits, community opinions, and AI functionality, we used literature review, population survey, and immersive development methodologies respectively. Additionally, Geographic Information System (GIS) software was utilized for analyzing crime hot spots within Charlotte and comparing them to the results of the gathered qualitative survey data to underscore a more precise plan for the implementation of this technology. Criminal Justice and Engineering students worked conjointly to train the software in its behavior detection and improve this technology’s data to achieve unbiased, accurate algorithms and crime prevention.