Artificial Intelligence, Warfighters Form Enhanced Partnership On Battlefield
by David Vergun, DOD News
June 21, 2020
The most important element in the battlefield of the future won't be rockets, bullets or robots, but data and the ability to collect it from any point and send it where it needs to be, the experts said
on June 16, 2020 at a Defense One Tech Summit panel discussion titled ''Linking Land, Air, Sea, and Space to Dominate the Battlefield of Tomorrow.''
Soldiers in advanced individual training learn about the single-channel ground and airborne radio system at Fort Sill, Okla., April 21, 2020. (U.S.
Army photo by Sgt. Amanda Hunt)
|
Data shareability is at the heart of the military's
next-generation, multidomain operations concept. It's a vision of
the future in which every tool in the U.S. arsenal — on the land,
air, sea, space and cyberspace — can communicate instantaneously at
high bandwidth.
The speakers included: Cynthia Bedell,
director of computation and information sciences at the Army
Research Laboratory; Preston Dunlap, the Air Force’s chief
architect; Dr. Tim Grayson, director of the Strategic Technology
Office at the Defense Advanced Research Projects Agency; and Lisa
Sanders, director of science and technology for U.S. Special
Operations Command.
Artificial intelligence, or AI, could
possibly be deployed on the battlefield in multidomain operations in
five to 10 years, Grayson noted.
A Marine with Marine Rotational Force Europe 20.2, Marine Forces Europe and Africa, launches a Raven unmanned aerial system during training in Setermoen, Norway, June 1, 2020. (U.S.
Marine Corps photo by Lance Cpl. Chase W. Drayer)
|
''Mosaic warfare,'' a concept being developed by the Defense
Advanced Research Projects Agency, would link warfighter platforms —
missile batteries, tanks, planes, ships and so on — through a
communications network powered by AI, he said.
Layering a
network with AI would enable the warfighter to better decide which
asset is most effective in carrying out a specific mission. For
example, if both Air Force and Navy aircraft are in an area to be
targeted, AI could suggest which would be the better choice.
In a mosaic warfare ground scenario, AI might suggest sending an
unmanned aerial vehicle or ground robot ahead of the main, ground
battle force. That unmanned system might spot an enemy tank and pass
the coordinates back, which are then relayed to a non-line-of-sight
strike system in the rear that, in turn, launches its munitions and
takes out the target.
An Air Force C-band space surveillance radar system, operates as a dedicated sensor node near Exmouth, Australia, Aug. 27, 2019. Strategically located to cover both the southern and eastern hemispheres, the radar provides tracking and identification of space assets and debris for the U.S. space surveillance network. (U.S.
Navy photo by Petty Officer 2nd Class Jeanette Mullinax)
|
Bedell said that while large platforms such as ships and aircraft
can carry a lot of power and computing, soldiers on the ground
usually can't. AI could be used to optimize communications in
controlling how data and bandwidth are used most effectively, she
explained.
In another example, Bedell said AI algorithms
could be refined as systems learn certain behaviors. An unmanned
ground vehicle could learn a safer route to avoid detection, moving
in the shadows instead of traveling in the middle of a road. Those
lessons could be shared from machine to machine. The Army Research
Laboratory plans to do some experiments along those lines this fall.
Bedell said an important aspect of AI is learning how human
behavior changes when working with autonomous partners and how
autonomous partners interact with different humans.
Grayson
added that humans are better at making high-level decisions, while
AI-powered machines can process complicated things at great speed.
DARPA, in partnership with the Air Force, will be conducting
experiments along these lines to better understand these
interactions, he said.
Our Valiant Troops |
Veterans |
Citizens Like Us |
U.S. Department
of Defense
|
|