As artificial intelligence systems become increasingly integrated into military operations, questions about responsibility and accountability in warfare are intensifying. According to experts discussing AI's military applications, the challenge of determining whether civilian casualties or missed targets result from human error or algorithmic failure represents a critical legal and ethical frontier. The ambiguity surrounding AI decision-making in combat scenarios creates a accountability gap that lawmakers and military officials have yet to adequately address. The episode explores the growing use of AI in military contexts and examines the downstream consequences of deploying autonomous or semi-autonomous systems in warfare. With AI systems making targeting decisions or assisting in strike planning, the traditional frameworks for assigning responsibility become muddled. If an attack kills civilians or misses its intended target, investigating whether an AI system failed or a human operator made an error becomes essential for establishing accountability—yet the technical complexity of these systems often obscures clear answers.