Decision Support

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Mission Command’s Asymmetric Advantage Through AI-Driven Data Management

This article positions information asymmetry as a defining pillar of mission command rather than a limitation, presenting a condensation-distillation framework that manages complexity through data condensation, AI-driven distillation, and conceptual metrics to assess asymmetric information flows.

Artificial Intelligence in Command and Control

report examines the opportunities and challenges of implementing AI-driven decision support systems in the Danish defense sector, using case studies of Israel’s Gospel and Lavender systems to illustrate both technological potential and practical pitfalls including automation bias and reduced human control.