The U.S. Air Force has concluded its second Decision Advantage Sprint for Human-Machine Teaming (DASH 2) – an experiment testing how artificial intelligence can accelerate decision-making in battle management.
Held at the Shadow Operations Center-Nellis’ downtown Las Vegas site, DASH 2 brought together airmen, industry partners, and developers to prototype AI-enabled tools that fuse operator judgment with machine speed.
The initiative was led by the Advanced Battle Management System (ABMS) Cross-Functional Team in collaboration with the Air Force Research Lab’s 711th Human Performance Wing, the Integrated Capabilities Command, and the 805th Combat Training Squadron.
Seven teams participated, designing microservices to match weapon systems to targets. Early results showed AI could generate solutions in less than 10 seconds and produce 30 times more options than human-only teams, with accuracy rivaling that of operators.
“By fusing operator judgment with AI speed, the Air Force is shaping the future of decision advantage in joint and coalition operations,” said Col. Jonathan Zall, ABMS Capability Integration chief.