The Autonomous Battlefield Perception

by SSgt Mat Gardam

Warfare is changing faster than our ability to understand it. As technology accelerates and artificial intelligence becomes woven into the fabric of military decision making, we are forced to confront questions that previous generations never had to ask. What happens when machines begin to influence — or even make — decisions traditionally reserved for humans? And more importantly, how do our own perceptions of intelligence, reality, and morality shape the future battlefield?

This work began with a simple dissertation question about AI weapon systems but quickly expanded into something far more profound. Exploring the intersection of artificial intelligence, human cognition, and the ethics of conflict revealed a landscape filled with contradictions. On one hand, AI systems can process data at speeds no human could match. On the other, as Searle’s Chinese Room reminds us, they may do so without any real understanding. We see intelligence; the machine sees patterns. We see meaning; the machine sees symbols. That gap — between perception and reality — is where danger lives.

Yet modern AI complicates this picture. Research such as Lindsay’s work on emergent introspective awareness shows that large language models can report on their internal states with surprising accuracy. They can estimate confidence, identify reasoning paths, and distinguish between memory and inference. But does this mean they understand? Or are we simply projecting human qualities onto sophisticated statistical systems?

The moral dimension is equally challenging. As Gunkel argues, the question is not what machines are, but how we choose to treat them. Our interactions with AI already blur the line between tool and companion, between system and subject. If perception shapes reality, then the way soldiers, commanders, and societies interpret AI may influence warfare as much as the technology itself.

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