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Dassault Aviation tests AI algorithms on Rafale fighter jet
PARIS, Sept 22 (Reuters) - French planemaker Dassault Aviation (AM.PA), opens new tab has flight-tested two new AI algorithms on its Rafale fighter jet, it said on Tuesday, in the latest sign of efforts by arms companies to incorporate the technology into future weapons systems. The move comes as
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Dassault Aviation flight-tests sovereign AI on its Rafale
'The development of these new functions is part of an overall effort to integrate into the cockpit an AI that is controlled and supervised, in support of the human crew. They have reached a level of maturity that makes them eligible for the Rafale's next upgrades,' the group says. According to the
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French planemaker Dassault Aviation has successfully flight-tested two AI algorithms on its Rafale fighter jet, developed in-house and with partner Thales. The tests demonstrate sovereign AI capabilities for next-generation fighter jets, with the algorithms now mature enough for future Rafale upgrades to support human crews in combat operations.
Dassault Aviation has flight-tested two new AI algorithms on its Rafale fighter jet, signaling a major step toward integrating AI-driven combat systems into France's military aviation arsenal
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. The French planemaker developed one algorithm internally while collaborating with defense technology partner Thales on the second, leveraging their existing cooperation on the Rafale platform1
. This development comes as Europe pushes for greater defense autonomy following the collapse of a Franco-German fighter jet project with Airbus earlier this year1
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The tested AI algorithms have achieved a maturity level that makes them eligible for the Rafale's next upgrades, according to Dassault Aviation
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. The development represents part of a broader initiative to integrate controlled and supervised AI to support human crews in the cockpit2
. While Dassault did not disclose specific details about the tests or the precise roles of the AI algorithms, the company emphasized that these sovereign AI capabilities demonstrate its technical prowess in embedding artificial intelligence into combat systems1
. The achievement requires mastering several challenges unique to military aviation, including ensuring availability and quality of operational data from real or simulated sources, capturing synergies across domain expertise, and maintaining resource efficiency on embedded platforms subject to stringent constraints2
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Arms manufacturers worldwide are racing to incorporate AI to support human crews in next-generation fighter jets, enabling pilots to make faster decisions and coordinate with uncrewed wingman drones designed to fly alongside conventional aircraft
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. Sweden's Saab conducted combat testing of a Gripen E warplane flown by AI algorithms against a real fighter pilot last year as it explores concepts for future combat jets1
. The US Air Force also demonstrated AI capabilities in 2024 when its Secretary flew in a modified F-16 jet equipped with machine learning from Shield AI, showcasing the ability of AI to engage in aerial battle with a crewed F-161
. Dassault has positioned itself as capable of developing its own fighter jet independently while remaining open to cooperation with new partners, signaling flexibility as France prepares for potential upgrades and the next generation of combat aircraft1
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