INTEGRATING MACHINE LEARNING IN MILITARY INTELLIGENCE PROCESS: STUDY OF FUTURISTIC APPROACHES TOWARDS HUMAN-MACHINE COLLABORATION

Abstract

Automation of Military Intelligence (MI) through Artificial Intelligence (AI) has broaden the spectrum of information collection procedure and analysis function in many folds. In today’s digitized world, data is produced in exponential way by every minute. Intelligence agencies around the world are experiencing new dimensions of the information what used to be overlooked due to limitation of human capacity to handle such large data set. Emergence of AI with Machine Learning (ML) as one of its subsets has brought a revolutionary approach to collect the surge of information and analyzing with numerous ML algorithm to produce various intelligence summary for strategic, operational and tactical leaders both in peace and war time. To deal with the traditional and non-traditional threat, ML based MI data collection and analysis are carried out through supervised, unsupervised, reinforcement and deep learning approaches where degree of automation is decided through human-in-the loop and human-out-of-the loop method. These ML tools will help developing system framework which will be able to sense and respond to the operational environment through adaptive learning technique so as to learn from its experience, adapt with the changing environment based on previous learning and experience. Incorporation of smart security sensors, surveillance unmanned aerial vehicle, earth observation satellites, electronic and virtual source monitoring system can augment the information collection system of MI organizations. Data analysis and data fusion can be carried out by regression, classification, time series analysis, cluster analysis, topic modeling, collaborative filtering and association rules within the framework of 4-Tiers of framework as Collection Sources, Storage & Processing, Fusion & Profiling and Data Sharing augmented by military cloud network and Internet of Things (IoT). Collaborative approach with the other Armed Forces Services, concerned Ministries, Engineering Universities and commercial Stake Holders will help formulating future policy guidelines, research & development, ML algorithm development program and production of compatible hardwires for various ML based MI platform and applications.