AI-Enabled Air Force Unmanned Drones "DogFight" Manned Fighter Jets
Video Above: Army Research Lab Scientists... Tells Warrior About Engineering New Explosives
By Kris Osborn - Warrior Maven
What if an armed, artificial-intelligence-enabled attack drone detects an enemy fighter jet, uses long-range sensors to confirm the target before attacking with a precision-guided air-to-air missile?
What if an unmanned fighter or advanced drone, operated with various levels of advanced AI-informed algorithms, engaged in fast air-to-air combat maneuvers in a direct dogfight or close-in engagement with a manned enemy fighter?
These questions, which raise substantial tactical, strategic and command and control questions, are fast becoming a near-term reality.
“Autonomous systems going up against a manned system in some kind of air-to-air engagement . . . is a bold idea,” Lt. Gen. “Jack” Shanahan, Director, Joint Artificial Intelligence Center, told The Mitchell Institute for Aerospace Studies in a special video interview series.
Shanahan explained that, while autonomy now exists in various forms of great operational significance, AI-enabled autonomy brings a new frontier of warfare possibilities now being explored by the Pentagon in greater depth.
“AI-enabled autonomy is where we will see some big capabilities come together,” he said.
Autonomy driven by AI does bring a range of new technical, tactical and strategic implications, such as bringing new paradigms of decisionmaking, problem solving and operations.
Essentially, platforms driven by advanced AI willl be capable of discerning, processing and analyzing vast amounts of information in near real-time, something which not only speeds up “sensor-to-shooter” time but also enables a much greater range of operational activity without a need for human intervention.
Instead of merely following pre-determined navigational “waypoints” established through GPS, something which has been underway for quite some time, drones and even fighter-jets will be able to receive new input, perform in-flight analytics and then make impactful decisions autonomously.
While humans will retain the requisite measures of command and control, AI can facilitate the ability for an unmanned system to, for instance, quickly adjust flight in response to new sensor information. This could include the processing of force location or navigational data independently or even networking intelligence data between nearby manned platforms, unmanned platforms and human-operated ground command centers.
For instance, a drone or unmanned fighter could be operating in a high-risk area when it comes upon enemy troop formations or terrain configurations of great tactical significance, bounce that new information against a vast and seemingly limitless database of information to perform analytics and make necessary adjustments.
Perhaps the on-board computer can access an intelligence database indicating previously successfully courses of action in these circumstances, analyze information about enemy capabilities, assets and weapons, and inform the unmanned platform regarding the best immediate course of action? An on-board computer could instantly weigh a host of variables to independently make calculations previously determined by humans.
It certainly could be said that the F-35s well-known “sensor fusion” which organizes otherwise disparate sensor information onto a single screen for the pilot, is an early application of AI.
Emerging or future AI-enabled autonomy will incorporate a vastly superior wealth or range of information, improve processing and analytics, and perform decisionmaking related to a host of complex dynamics without needing humans.
Procedural and analytical functions such as information management and data processing can all be done much more efficiently than humans, all while leaving human cognition in an ultimate controlling role.
The speed of calculations and the increasing pace at which AI-informed systems can acquire, process and analyze new information in real-time are in fact expected to enable unmanned dogfighting, combat maneuvering and tactical decisionmaking.
“We will see small numbers of humans controlling larger numbers of machines. In some cases it will be machine-to-machine with humans in the loop,” Shanahan said.
Of course, at least at the moment, all of this rests upon a fundamental and, as of yet, unchanging premise, namely that ultimate control must remain with humans able to utilize those characteristics unique to human cognition.
“The only failure we will have is a failure of imagination,” Shanahan added.
What would it mean if an unmanned, AI-enabled fighter jet were able to out-perform a manned fighter in a dogfight?
Well, that is what happened according to a DARPA-industry simulation exercise in which a drone fighter defeated a manned F-16 by a score of 5 to 0, according to a report from Breaking Defense.
“The three-day trials show that AI systems can credibly maneuver an aircraft in a simple, one-on-one combat scenario and shoot its forward guns in a classic, WWII-style dogfight. In a 5 to 0 sweep, an AI ‘pilot’ developed by Heron Systems beat one of the Air Force’s top F-16 fighter pilots in DARPA’s simulated aerial dogfight contest ” the Breaking Defense story says.
There are several important things to bear in mind here, it would seem. Of course, AI is progressing so quickly that many presume highly-maneuverable, complex-decision-making drone fighter jets will be operational in the near future. At one point several years ago, former Navy Secretary Ray Mabus said the F-35 may ultimately be the last manned fighter. While that view does not represent the current thinking of U.S. weapons developers, it does point to the broad recognition that algorithms are enabling this kind of capability quickly.
For instance, despite the apparent success of the exercise, there is little consensus that human pilots will be replaced anytime soon. Here’s why: there are certain problem-solving faculties and attributes unique to human cognition which machines may be a long way from fully replicating. Army Research Scientists say current AI, which is based structurally upon the vision nerves of mammals, has a long way to go before it can even begin to approximate the total complexity of the human brain.
It seems significant to point out that the superiority of an AI-enabled platform emerged during a “computer simulation” and not an actual replicated dogfight. This is significant for several reasons, it is not yet clear that AI-empowered systems can instantly process fast-emerging new variables or consider the totality of an overall combat circumstance including a range of disparate factors.
Can a machine learn in real-time should it encounter a weapon or circumstance not stored in its database? It may not have a reference point against which to analyze new information. Advanced AI-systems are only as effective as the database they operate with. Now there is much work going on to expedite real-time machine learning and fast-moving or immediate analytics, yet it is not yet fully established that machines can reliably process all new information as quickly and as accurately as humans can.
What about more subjective determinations? Perhaps a computer might be inclined to mistake a manned system for a drone, or interpret an approaching conventional weapon as nuclear? Humans make philosophical, emotional and psychologically nuanced decisions often informed by less “calculable” criteria and therefore less likely to be accurately mirrored or replicated by machines.
Certainly, machines can react and perform various analytic and procedural functions much more quickly than humans, yet they may not yet be evolved to the point where they can simultaneously account for a wide-range of interwoven, overlapping or even contradicting variables.
Perhaps, therefore, a combination of human-machine coordination might make for the best approach, given that it could both optimize the speed of decision-making enabled by computers and rapid analysis while still preserving and calling upon those particular characteristics unique to human cognition?
This kind of man-unmanned networking and connectivity is precisely what the U.S. military services say is the most important tactical and operational approach to prioritize; a man-computer combination can, the thinking goes, easily out-perform an isolated human or isolated machine.
Kris Osborn is Defense Editor for the National Interest*. Osborn previously served at the Pentagon as a Highly Qualified Expert with the Office of the Assistant Secretary of the Army—Acquisition, Logistics & Technology. Osborn has also worked as an anchor and on-air military specialist at national TV networks. He has appeared as a guest military expert on Fox News, MSNBC, The Military Channel, and The History Channel. He also has a Masters Degree in Comparative Literature from Columbia University.*