Eric Velte and Aaron Dant
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The use of artificial intelligence in combat poses a thorny ethical dilemma for Pentagon leaders. The conventional wisdom is that they must choose between two equally bad alternatives: either enforce full human supervision of the AI systems at the cost of speed and accuracy or allow AI to operate with no supervision at all.
In the first option, our military builds and deploys “human in the loop” AI systems. These systems adhere to ethical standards and the laws of war but are limited by the abilities of the human beings that supervise them. It is widely believed that such systems are doomed to be slower than any unsupervised, “unethical” systems used by our adversaries. The unethical autonomous systems appear to boast a competitive edge that, left unchallenged, has the potential to erode Western strategic advantage.
The second option is to completely sacrifice human oversight for machine speed, which could lead to unethical and undesirable behavior of AI systems on the battlefield.
Realizing that neither of these options is sufficient, we need to embrace a new approach. Much like the emergence of the cyber warrior in the realm of cybersecurity, the realm of AI requires a new role – that of the “AI operator.”
With this approach, the objective is to establish a synergistic relationship between military personnel and AI without compromising the ethical principles that underpin our national identity.
We need to strike a balance between maintaining the human oversight that informs our ethical framework and adopting the agility and response time of automated systems. To achieve this, we must foster a higher level of human interaction with AI models than simply stop/go. We can navigate this complex duality by embedding the innate human advantages of diversity, contextualization, and social interaction into the governance and behavior of intelligent combat systems.















