Cybersecurity, Artificial Intelligence, and Risk Management: Understanding Their Implementation in Military Systems Acquisitions

Abstract

The exponential growth in data management has led to explosive growth in data analytics, big data, machine learning (ML), and AI. Despite the positive effects these emerging solutions have on productivity, there is a desperate need for information on extreme risk factors (e.g., climate change, pandemic risks, data loss, failure of IT systems) impacting on cybersecurity. We propose a systematic review on how AI, especially ML, is being considered in military acquisitions, including discussions around risk management and extreme events in order to identify how the DoD could use these findings to increase awareness of the hidden aspects of ML and AI, especially in the face of extreme events.