How Modern Military are Leveraging AI

Experimentation is crucial to building trust

lterative, real world experimentation in which humans develop new operational concepts, test the limits of their machine teammates, and better understand their breaking points, strengths, and weakness of machines in a range of environments will play a key role in speeding HMT adoption. This awareness is also essential to human operators as they develop the trust in their AI teammates required to effectively capitalize on the potential of HMT.

Applications of human machine teaming

 

In its most basic form, this vision of HMT is not new: Humans have collaborated with intelligent machines for decades with early machine talents epitomized in 1997 by supercomputer Deep blue defeating world champion Gary Kasparov in a game of chess and militarizes have  long tested concepts to move the needle in this critical capability.

These wing man aircraft can fly forward of the crewed aircraft to carry out a range of missions, including electronic attack or defense, intelligence, surveillance, and reconnaissance (ISR), or strike, or as decoys to attract fire away from other assets and light up enemy air defenses.

Manifestation of HMT

Interest in this manifestation of HMT has increased not just in the United States but also in most modern militarizes. In addition to the United States, Australia, China Russia, The United Kingdom, Turkey, and India all have at least one active loyal wing-man development program, while the sixth generation fighter efforts Global Combat Air Programme (United Kingdom, Italy, Japan), Next Generation Air System (Germany, France, Spin) involve system of systems concepts of air power that stress both HMT and machine machine teaming.

Conclusion

As important as this category of HMT is ans will continue to be to emerging military capabilities, discussion of HMT should include the full breadth of human interaction with AI agents (which learn experiences, and inputs), including the overwhelming majority of interactions that occur with algorithms that possess on physical form.

Project Maven is one example of how DOD and now the National Geo spatial Intelligence Agency use this category of HMT to autonomously detect, tag, and trace objects or humans of interest from various forms of media and collected intelligence, enabling human analysts and operators to prioritize their areas of focus.