The Effectiveness of Artificial Intelligence on Optimizing Security Initiatives for Quality Service Delivery at Higher Institution Level

Abstract: The aim of this study was to investigate the effectiveness of Artificial Intelligence on optimizing security initiatives in quality service delivery at higher institution level. The 12-week study was conducted using a quasi-experimental design with a pre-test and post-test, following the AI training manual of security personnel. A total of 60 security personnel participated in the study. The experimental group was instructed using AI security packages and solutions for personnel training while the control group was taught using a lecture-based approach. Data from the Security Initiative Scale was used to assess the effectiveness of Artificial Intelligence in security service delivery in higher institution context. The results of the study showed that the experimental group was significantly higher in security services than the control group on both the perceived violent crime scale and the perceived property crime scale of the security initiative scale in the AI packages. Based on the findings of the study, Artificial Intelligence is effective in enhancing the security initiatives for quality service delivery in higher institutions. Moreover, the study suggests that there should be a critical reflection among universities who still see AI adoption as optional at a time when threats are ever-evolving and opportunities seem borderless.

      Keywords: Artificial Intelligence, security initiatives, higher institution, quality service, quasi experimental design.

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