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Description
This article explains how neuromorphic artificial intelligence (AI), AI designed to mimic brain-like reasoning, differs from traditional rule-based systems and what that means for military decision-making. Unlike mechanistic AI that reacts predictably to inputs, neuromorphic AI integrates data and context more like the human brain, allowing adaptive responses in complex environments. While this could improve how autonomous systems operate in uncertain conflict zones, it also raises new questions about control, predictability, accountability, and ethical use. The author argues that integrating such systems into defense operations must be guided by clear oversight, doctrine, and ethical frameworks to ensure effectiveness, safety, and stability in future military engagements.
Document Type
Article
Topic(s)
Emerging Science and Technologies, Defense Policy, National Security
Region(s)
United States
Publication Date
9-24-2025
Keywords
neuromorphic AI, brain-inspired artificial intelligence, military AI, causal decision processing, autonomous systems, human-machine integration, adaptive computing, ethical AI governance, command and control, strategic AI integration, defense innovation, accountability in autonomous systems, national security technology
Recommended Citation
Giordano, James, "Beyond Mechanistic Control: Causal Decision Processing in Neuromorphic Military Artificial Intelligence" (2025). Commentary. 1.
https://digitalcommons.ndu.edu/commentary/1