Drones over Gaza: The lethal consequences of incorporating machine learning models into military UAVs, and other implications for occupied Palestine
by Sean McCafferty Operation 'Guardian of the Walls', May 2021 (Wikicommons) The proliferation of Unmanned Aerial Vehicles (UAVs) - particularly loitering munitions - represents a significant development towards Lethal Autonomous Weapon Systems, demanding deeper reflection on the military deployment of machine learning . Most military UAVs are semi-autonomous systems and need human oversight for lethal action, yet the development of autonomous systems is already a reality. The UAVs developed by Israeli Aerospace Industries and Elbit, for instance, can be deployed with varying levels of autonomy and are already being used by Israel in occupied Palestine. Technologies such as deep neural network image classifiers , which, when incorporated into UAVs allow for automated target recognition systems, also increase the possibility of inaccurate violence and human fatalities. This article looks at the incorporation of deep neural network image classifiers into the automated t...