Presentation
12 June 2023 Future trends and applications of AI to military challenges (Conference Presentation)
Robert St. Amant
Author Affiliations +
Abstract
In a 2022 AUSA paper, Lyons and Johnson write, "Based on a theory of complementarity and domain interconnectedness, MDO works by creating combinations of interacting effects—physical, nonphysical, mental and moral—to weaken and collapse the enemy’s will to resist... These effects demand integration at very different ranges and moments in time that account for rates of movement and changes in location and disposition." It is straightforward to see how modern AI systems can solve well-bounded problems, within single domains and even across domains. To give just a few examples, AI is making a difference in sensing, information fusion, and control for autonomous robots (physical movement on a small scale of time and space); in defending against cyber attacks (nonphysical actions across large-scale networks); in decision support for command and control (variable scales of time and space with abstraction and cross-domain combination). There are pitfalls in the application of AI to military challenges, however, and there remain open problems on which research as made relatively little progress over the decades. This talk provides an overview of what we may expect for future trends, the challenges we will likely face, and where we believe resources can be best allocated.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert St. Amant "Future trends and applications of AI to military challenges (Conference Presentation)", Proc. SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, 1253804 (12 June 2023); https://doi.org/10.1117/12.2682188
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