The United States AI was tested in air combat much earlier than China. While China US test pilots have already tested their AI dogfighting in the sky. While real-sky combat was still taking place between drones controlled by humans and AI.

But It is not clear whether America The company has also addressed the AI problem in its new AI-powered F-16 fighter jet You can also find out more about us here. China Says it has, the groundbreaking works by the Chinese scientists It is likely to transform the future face of air wars.

Prevailing AI technologies like deep reinforcement learning or large language models work in a similar way to a black-box: tasks go into one end and outputs come out of the other. The humans don’t know the inner workings.

But Air combat can be a life or death situation. In In the near future pilots will have to work closely together with AI. They may even be required to entrust their lives to intelligent machines. The “black box” The issue does not only undermine people’s confidence in machines, but also hinders deep communication among them.

Developed By a team headed by Zhang DongAssociate Professor at the School of Aeronautics Northwestern Polytechnical UniversityThe new AI combat system is able to explain every instruction it sends the flight controller in words, numbers and even charts.

This AI can also explain the importance of each directive in terms of the current situation, specific flight maneuvers and tactical intentions.

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Zhang’s The team discovered that AI can be used to enhance human pilot interaction.

For For example, during a review after a skirmish simulation, an experienced pilot can detect the clues which led to the AI’s failure. An A feedback mechanism is an efficient means of ensuring that the system works efficiently. AI to comprehend Follow the advice and suggestions of human team members to avoid similar mistakes in future battles.

Zhang’s The team discovered that AI capable of communicating with humans can be found in this type. “from the heart,” With only 20,000 combat rounds, you can achieve a near 100 percent win rate. In Contrast the conventional “black box” AI only manages to win 90 percent of the time after 50,000 rounds. It struggles to get better.

Currently, Zhang’s The team has so far only used the technology on ground simulators. Future applications will be possible. “extended to more realistic air combat environments,” In a peer-reviewed article published in the Chinese Academic journal Acta Aeronautica et Astronautica SinicaOn April 12.

In The US “black box” The issue has been raised in the past and cited as a potential problem for pilots.

America’s The Air Force and the Navy are conducting dogfighting tests. Defence Advanced Research Projects Agency (DARPA). A senior DARPA officer acknowledged that the idea is not welcomed by all air force pilots due to the “black box” issue.

“The big tough challenge that I’m trying to address in my efforts here at DARPA is how to build and maintain the custody of trust in these systems that are traditionally thought of as black boxes that are unexplainable,” Colonel Dan Javorsek, a programme manager at DARPA’s Strategic Technology OfficeIn an interview with the National Defence Magazine In 2021.

DARPA has developed two strategies for assisting pilots to overcome their fears. “black box” apprehension. One AI is able to handle lower-level tasks such as selecting the right weapon based upon the attributes of the target, and launching the aircraft by pressing a button.

The The other method involves senior officers personally boarding AI driven fighter jets in order to demonstrate their confidence.

China’s The J-20 stealth aircraft has a two seat variant with one pilot interacting with AI controlled unmanned wingmen. Photo: China Daily You can also contact us via our website. Reuters
Earlier This month, Air Force Secretary Frank Kendall Artificial intelligence controlled an F-16 for an hour. Edwards Air Force Base. On He told him to land. Associated Press He had seen enough during his flight to trust You can also find out more about this by clicking here. “still-learning” AI that can decide when to use weapons in a war.

“It’s a security risk not to have it. At this point, we have to have it,” Kendall Tell AP.

The Security risk is China. The US Air Force AI gives them a chance of winning against the increasingly formidable Chinese Air Force In the future. At The report stated that at the time China There was no sign that they had developed a way to test beyond simulators.

But According to the newspaper Zhang’s Team is the Chinese Military enforces rigorous safety assessments for AI and insists on AI being integrated into fighter planes only after it has cracked the code. “black box” enigma.

Deep Reinforcement learning models produce decision-making results that are mysterious to humans, but superior in combat effectiveness when applied in real-world situations. It’s Humans find it difficult to deduce and comprehend this decision-making model based on prior experiences.

“It poses a trust issue with AI’s decisions,” Zhang His colleagues wrote.

“Decoding the ‘black box model’ to enable humans to discern the strategic decision-making process, grasp the drone’s manoeuvre intentions, and place trust in the manoeuvre decisions, stands as the pivot of AI technology’s engineering application in air combat. This also underscores the prime objective of our research advancement,” “They said.”

Zhang’s The team used multiple examples to demonstrate the power of AI in their study. For For example, in a losing situation, the AI first intended to climb, execute a Cobra Manoeuvre, then perform combat turns, aileron loops and rolls to engage enemy aircraft. Finally, it would end with evasion maneuvers such as diving and levelling.

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But A pilot with experience would quickly recognize the flaws of this radical combination. The The drone’s speed dropped dramatically during the engagement due to AI’s climbs, combat rolls, aileron roll and dives.

And The paper contains the instructions that the AI should follow. “The reduced speed resulting from consecutive radical manoeuvres is the culprit behind this air battle loss, and such decisions must be avoided in the future.”

In In another round, an AI pilot used sudden large maneuvers to fool the opponent. It entered the sidewinding phase earlier and then used level flight to deceive the enemy. This led to a crucial winning strike.

After Researchers discovered a subtle maneuver that was pivotal in the deadlock.

The Außerdem “adopted a levelling out and circling tactic, preserving its speed and altitude while luring the enemy into executing radical direction changes, depleting their residual kinetic energy and paving the way for subsequent loop manoeuvres to deliver a counter-attack,” Zhang’s Team wrote

Northwestern Polytechnical University The most important thing to remember is that you are not alone. China’s most important military Technology research bases The The US government has repeatedly tried to penetrate its network system and imposed harsh sanctions. This has led to strong protests by the Chinese government.

But It seems that the US sanctions on Iran have not had any obvious impact on the exchange rate between Zhang’s The team and its international counterparts They The use of novel algorithms by American Researchers at international conferences have also published their papers revealing their innovative frameworks and algorithms.

Some Military experts believe that the Chinese The military is more interested in establishing Guanxi – connection – between AI and human fighters than their US counterparts.

For instance, China’s The J-20 stealth fighter is available in a two-seat version, where one pilot will interact with AI-controlled unmanned wingsmen. This feature is not present on the F-22 or F-35 fighters of the US.

But A BeijingA physicist based in, who asked not to be identified due to the sensitive nature of the subject, said that new technology could blur lines between humans and machines.

“It could open Pandora’s box,” He said.

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