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Breaking the black box: Chinese scientists solve a ‘big tough challenge’ to the US Air Force’s AI project

  • Researchers are creating a smart air combat system that can explain the decisions it makes during battles to humans
  • It overcomes the ‘black box’ issue that has been a hurdle for both US and Chinese militaries amid an AI arms race

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Chinese researchers are creating an AI-powered air combat system that can explain to a human how it made its decisions. Photo: EPA-EFE/Xinhua
Stephen Chenin Beijing
In Xian, an ancient city in northwestern China that has given rise to some of the most powerful dynasties, a new power is emerging as scientists create a form of artificial intelligence (AI) for the military that has not been seen before.

The smart air combat system can explain the decisions it makes during intense battles, and share the motives behind these moves with humans.

This technological breakthrough means China has overcome a hurdle that has baffled militaries for years. It also signifies growing intensity in the AI arms race between Washington and Beijing.
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The United States began testing the application of AI in air combat earlier than China. While China was still engaging in real-sky combat between human-controlled and AI-controlled drones, US test pilots had already taken their dogfighting AI to the skies for trials.

But while it is unclear whether America has also solved the same AI hurdle in its new AI-powered F-16 fighter jet that China says it has, the groundbreaking work by the Chinese scientists is certain to change the face of air battles in the future.
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Prevailing AI technologies, such as deep reinforcement learning and large language models, operate like a black box: tasks enter one end and results emerge from the other, while humans are left in the dark about the inner workings.

But air combat is a matter of life and death. In the near future, pilots will need to work closely with AI, sometimes even entrusting their lives to these intelligent machines. The “black box” issue not only undermines people’s trust in machines but also impedes deep communication between them.

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