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AI futurology / Europe’s future fighter jet: Embracing AI for air combat
AI futurologySafety

Europe’s future fighter jet: Embracing AI for air combat

How artificial intelligence is shaping the next generation of European warplanes

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: July 15, 2024
4 Min Read
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Europe is working on a new fighter jet that will use a lot of artificial intelligence (AI). This project is called the Future Combat Air System (FCAS). Germany, France, and Spain are working together on it, with Belgium watching closely. They want to have the first flying models ready by 2030.

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Key points

  • FCAS is a joint European project for a new fighter jet system using AI.
  • The system includes manned fighters and AI-controlled “loyal wingmen” drones.
  • AI will be used for drone control, communication, sensor processing, and decision-making.
  • The pilot’s role will shift from flying to managing the entire mission.
  • A special digital platform is being used to coordinate work among many companies.
  • There are concerns about the ethical implications of AI in combat systems.
  • The first flying models are planned to be ready by 2030.

The FCAS is not just one plane. It’s a whole system of planes and drones working together. The main new thing about it is the use of “loyal wingmen.” These are smart drones that fly alongside the main plane with a human pilot. They help collect more information, carry more weapons, or confuse enemy defenses.

To make this work, the drones need to be very smart. They can’t all be controlled directly by the pilot. Instead, they need to make some decisions on their own. This is where AI comes in. The AI will help the drones fly, communicate, and even make some choices about what to do.

fcas dassault ai fighter jets europe
Future Combat Air System FCAS Dassault mockup

One big challenge is keeping all parts of the system connected. A company called NeuralAgent is working on this. They’re making a system where each drone has its own small AI. These AIs talk to each other using different methods like radio or even infrared light. This helps keep the system working even if some connections are blocked.

The role of the human pilot will change a lot in this new system. Instead of just flying one plane, they’ll be more like a mission manager. They’ll oversee both the main plane and the drones. The main plane might even be able to fly itself sometimes, letting the pilot focus on managing the whole mission.

AI will be used in many parts of the FCAS. It will help process information from sensors, come up with plans, and maybe even help decide what to attack. At first, the AI systems will be “frozen,” meaning they won’t learn new things during missions. But in the future, they might be able to learn and improve while flying.

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fcas dassault ai fighter jets europe

Many companies are working on different parts of the FCAS. To help manage all this work, they’re using a special online platform. This “digital assembly hall” helps everyone share information and work together better.

Some people are worried about giving too much power to AI in weapons. They’re concerned about machines making mistakes or making important decisions without human input. The FCAS team says they’re thinking carefully about these issues.

The FCAS is a big step forward in military technology. By using AI in many ways, it aims to create a powerful and flexible air combat system for Europe’s future.

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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