Identifying Challenges in Integrating Ai Technology for Intelligence Gathering in the Sri Lankan Army

Abstract

orporating artificial intelligence (AI) technology into intelligence-gathering systems illustrates a remarkable advantage for uplifting the operational necessity of armed forces. This study will be carried out to identify the challenges encountered by the Sri Lankan Army in acquiring AI technology for intelligence-gathering purposes. The implementation of intelligence is a barrier despite the potential benefits. The variables identified are scarcity of technological infrastructure, training and expertise gaps, resource constraints, and legislation provisions to the dependent variable of AI intelligence gathering. The sample was identified as 300 military intelligence personnel presently serving. Piolet questionnaire was restricted to 25 of them. Cronbach's Alphais marked as .825. SPSS is used as an analytical tool. A reliability test was carried out for each variable and received acceptance level. The bivariate analysis was carried out to identify the Spearman Correlation. The positive association between the acceptances of all alternative hypotheses was accepted, and the null hypothesis was rejected.The Chi-Square Testing Summary further illustrates the rejection of the study's null hypothesis. Findings of the study were generated through the survey data, and recommendations were suggested accordingly. His extracts recommendations are introducing possible AI platforms to process heavy volumes of data such as imagery, social media, etc., acquiring drones and other automated tools to monitor large areas constantly, Utilising AI to etc. cyber threats, anomaly detentions in the cyber domain, the interaction of human-AI collaboration is significant.