Another main concern is that a machine can be hacked in ways a human cannot. It might be fighting alongside you one minute but then turn on you the next. Human units have mutinied and changed allegiances before but to turn one’s entire army or fleet against them with a keystroke is a terrifying possibility for military planners.

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In 2021, when an AI programme, AlphaGo, took on a human grandmaster and world champion of the famously complex game of Go, it was expected to act methodically, like a machine. What surprised everyone watching was the unexpectedly bold moves it sometimes made, catching its opponent Lee Se-dol off-guard. The algorithm went on to win, to the shock of the tournament’s observers. This kind of breakthrough in AI development had not been expected for years, yet here it was.


Perhaps the most concerning of all is the offensive use of AI malware. More than 10 years ago, the world’s most famous cyber-weapon Stuxnet sought to insinuate itself into the software controlling the spinning of centrifuges refining uranium in Iran. Able to hide itself, it covered up its tracks, searching for a particular piece of code to attack that would cause the centrifuges to spin out of control and be destroyed. Although highly sophisticated then, it is nothing compared with what is available now and what could be deployed during a conflict.

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Current realities are different, and so far Russian ventures into this field have proven patchy. The Uran-9 unmanned combat vehicle performed poorly in the urban battlefields of Syria in 2021, often not understanding its surroundings or able to detect potential targets. Despite these setbacks, it was inducted into the Russian military in 2021, a clear sign of the drive in senior Russian military circles to field robotic units with increasing autonomy as they develop in complexity.

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Human soldiers will learn to increasingly rely on smart systems that can think at a faster rate than they can, spotting threats before they do. An AI system is only as good as the information it receives and processes about its environment, in other words, what it “perceives”. The more information it has, the more accurate it will be in its perception, assessment and subsequent actions.


AI can not only be empowering, it is asymmetric in its leverage, meaning a small country can develop effective AI software without the industrial might needed to research, develop and test a new weapons system. It is a powerful way for a country to leapfrog over the competition, producing potent designs that will give it the edge needed to win a war.

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Machine intelligence is and will be increasingly incorporated into manned platforms. Ships will now have fewer crew members as the AI programmes will be able to do more. Single pilots will be able to control squadrons of unmanned aircraft that will fly themselves but obey that human’s orders.

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AI’s main strength is in the arena of surveillance and counterinsurgency: being able to scan images made available from millions of CCTV cameras; being able to follow multiple potential targets; using big data to finesse predictions of a target’s behaviour with ever-greater accuracy. All this is already within the grasp of AI systems that have been set up for this purpose – unblinking eyes that watch, record, and monitor 24 hours a day.

The most complex and demanding environment is urban combat (resources), where the wars of the near future will increasingly be fought. Conflicts in cities can overwhelm most human beings and it is highly doubtful a machine with a very narrow view of the world would be able to navigate it, let alone fight and prevail without making serious errors of judgement.


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