Key points are not available for this paper at this time.
Artificial intelligence and machine learning techniques are being developed to improve decision making around the resort to force. These technologies are valued for their capacity to rapidly collect and analyse big data, model unique courses of action, offer probabilistic recommendations and predictions regarding the type and degree of force required, and evaluate the benefits, risks, and costs of action and inaction. Those concerned with these developments highlight the possibility of automation bias in human-machine teaming, and the potential de-skilling of individual and institutional decision making. This concern is valid, but too narrow in scope. In addition to human knowledge and skill, wisdom is imperilled by the growing technification of violence and war. Drawing on the lessons of tragedy, I argue that the speed, inflexibility, and false confidence of algorithmically assisted decision making cultivates an insensitivity to the tragic qualities of violence. This dulling of the tragic imagination is likely to lead to more imprudent and immoral uses of force, not less.
Neil C. Renic (Sun,) studied this question.