The question of human control is a key concern in autonomous military systems debates. Our research qualitatively and quantitatively investigates values and concerns of the general public, as they relate to autonomous military systems, with particular attention to the value of human control. Using participatory value evaluation (PVE), we consulted 1980 Australians about which values matter in relation to two specific technologies: an autonomous minesweeping submarine and an autonomous drone that can drop bombs. Based on value sensitive design, participants were (...) tasked to enhance the systems with design features that can realize values. A restriction (limited budget) in each design task forced participants to make trade-offs between design options and the values that these options realize. Our results suggest that the ‘general public’ has diverse and nuanced stances on the question of human control over autonomous military systems. A third of participants that is opposed to autonomous military systems when asked directly, selected different combinations of design features realizing varying degrees of human control. Several contextual factors, technology-specific concerns, and certain values seemed to explain these different choices. Our research shows that a focus on human control might overlook other important values that the general public is concerned about, such as system reliability, verifiability, and retrievability. (shrink)

The development of complex autonomous systems that use artificial intelligence (AI) is changing the nature of conflict. In practice, autonomous systems will be extensively tested before being operationally deployed to ensure system behavior is reliable in expected contexts. However, the complexity of autonomous systems means that they will demonstrate emergent behavior in the open context of real-world conflict environments. This article examines the novel implications of emergent behavior of autonomous AI systems designed for conflict through two case studies. These case (...) studies include (1) a swarm system designed for maritime intelligence, surveillance, and reconnaissance operations, and (2) a next-generation humanitarian notification system. Both case studies represent current or near-future technology in which emergent behavior is possible, demonstrating that such behavior can be both unpredictable and more reliable depending on the level at which the system is considered. This counterintuitive relationship between less predictability and more reliability results in unique challenges for system certification and adherence to the growing body of principles for responsible AI in defense, which must be considered for the real-world operationalization of AI designed for conflict environments. (shrink)