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How China’s military might use anti-AI tactics on the battlefields of the future

For the first time, the official PLA Daily spells out how it might target an enemy’s AI combat models

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For China’s military, the increasing prevalence of AI on the battlefield is introducing concepts of data pollution and damaging model learning while maximising its own use of AI. Image: Shutterstock
Hayley Wongin Beijing
China’s armed forces must find ways to undermine the data and computing capacity of its adversaries as AI gains an ever-greater foothold in combat planning and decisions, according to a military mouthpiece.
In an article on Tuesday, the PLA Daily said the military’s ability to counter the artificial intelligence-based combat skills of its opponents was an emerging area of warfare that would be vital in the future.

Succeeding in the area would mean targeting three main levels of an opponent’s AI processing: data, algorithms and computing capacity.

The article suggested that one possibility was to “pollute” data or change the distribution of data during warfare to make an adversary’s language models less accurate. Methods such as camouflaging weapons and running fake data on networks – which the article said foreign militaries had already adopted – would mislead the learning process of an enemy’s models.

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