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September 14, 2020 | International, Aerospace

Rafale pour la Grèce : entretien avec Eric Trappier, PDG de Dassault Aviation

Eric Trappier, PDG de Dassault Aviation, s'exprime dans Le Figaro. Il souligne notamment que L'intention manifestée par la Grèce, samedi soir, d'acquérir 18 avions de combat français Rafale «est une bonne nouvelle pour la France et pour son industrie aéronautique, dans le contexte difficile de la crise du Covid-19, marquée par un effondrement de l'activité sur le marché civil. C'est aussi une bonne nouvelle du point de vue politique avec un renforcement des relations entre les deux pays méditerranéens que sont la Grèce et la France. Et, enfin, c'est une bonne nouvelle pour Dassault Aviation et les partenaires du programme Rafale». Les Rafale sont appelés à remplacer la flotte de Mirage 2000 d'ancienne génération grecque, et à renforcer les capacités de défense et d'attaque du pays aux côtés des Mirage 2000-5 plus récents et des F-16 américains, en cours de modernisation. «Le premier ministre grec nous a demandé d'aller vite afin que les avions entrent rapidement en service dans leurs forces. Aussi, allons-nous tout mettre en œuvre afin d'aboutir à la signature du contrat commercial avant la fin de l'année. C'est ambitieux mais nous avons déjà démontré, notamment avec notre client égyptien, que nous savions répondre présents dans des délais très courts», explique Éric Trappier. La Grèce, client historique de Dassault depuis 1974, devient le tout premier client européen, membre de l'Otan, du Rafale. Il s'agit, pour l'avion de combat français, du quatrième succès à l'exportation, après l'Égypte et le Qatar en 2015 puis l'Inde en 2016, rappelle Le Figaro. «C'est encore une exception en Europe qui, je l'espère, montrera l'exemple à d'autres pays», souligne Éric Trappier.

Le Figaro du 14 septembre

On the same subject

  • Jump-starting Europe’s work on military artificial intelligence

    September 10, 2019 | International, C4ISR

    Jump-starting Europe’s work on military artificial intelligence

    By: Heiko Borchert und Christian Brandlhuber As the United States, China and Russia are accelerating their use of artificial intelligence in military settings, Europe risks falling behind unless leaders on the continent take steps to bundle their efforts. Estonia, Finland, France, Germany and the Netherlands presented a food-for-thought paper in May 2019, posing a series of questions aimed at boosting defense-relevant AI research in Europe. Our suggestion: Create a data mobility framework that would guide future concepts, models, algorithms, data sharing, access to elastic computing power, and sophisticated testing and training. Key challenges have yet to be addressed. Among them is a solid conceptual framework to help underline the benefits for armed forces. Second, AI solutions need to be integrated into a complex web of legacy systems, which puts a premium on interoperability. Third, defense AI solutions must comply with legal requirements. Finally, Europe lacks a common, trusted defense data pool. European leaders should take a lesson from the military mobility project, which simplifies and standardizes cross-border military transport procedures to ease the movement of personnel and equipment. Europe needs to match physical mobility with digital mobility. Data needs to travel, too. To stimulate defense AI solutions, the continent needs a platform economy that emerges around a portfolio of relevant infrastructure elements and services that a new “Center for Defense AI” could build. For the platform to become attractive, the data acquisition strategy must focus on the need to share. Readiness to share must be incentivized by a data pool that offers true, added value. Therefore, the center would offer access to data on anything from missile defense to combat aircraft maintenance under strict, government-controlled regulation, enabling users to build novel use cases for military scenarios. Mission-critical systems cannot rely on a single machine-learning technology but require a combined approach to data fusion that increases reliability and reflects the specific requirements of the different domains like land, sea, air, space and cyberspace. In addition, data must be validated to avoid manipulation. This data pool would become enormously attractive if the center managed to establish arrangements with the European Union and NATO to share data collected in international operations. This would provide an unprecedented opportunity to develop future concepts, models and algorithms based on real-life data reflecting mission requirements, environmental conditions in different theaters of operation and adversarial behavior. In addition, the European Defence Agency and NATO's Science and Technology Organization should make use of the joint data pool for their defense AI projects, thus expanding the data pool as well as the concepts and models used for data curation and solutions development. With the help of the European Defence Fund, the center could establish the first European defense data pool spanning across military services, missions and domains. This will drastically reduce data-handling costs, as data curation activities required for every single defense AI project can be pooled. While hugely important, data is only a means to develop capabilities-based AI solutions. That's why the center would offer complementary services addressing two current shortfalls: First, commonly available computing capacity required for large-scale learning is somewhat novel to the defense industry. A new defense AI cloud would significantly enhance data mobility by offering elastic computing capacity up to supercomputer levels, and dedicated data fusion capabilities currently unavailable to train very large-scale, AI-based data fusion models. Second, the center could provide a sophisticated simulation environment to run AI operations in a realistic battlefield environment. Based on its trusted data sources, the center and defense AI developers could join forces to build a defense AI app store. Apps could capture different sensor and effector characteristics or emulate particular patterns of adversarial behavior. Defense contractors and defense procurement agencies could use these apps to verify and validate new AI systems as if they had access to the respective algorithms, but without exposing the original vendor to the risk of being reverse engineered. In addition, the simulation environment would be instrumental to assess the ethical, legal and societal impact of AI solutions, thus providing a sound basis to decide on the use of AI systems and to enhance live, virtual, constructive training solutions. Europe should take bold steps toward channeling its collaborative defense AI activities, building on the strengths of each partner: The center would offer joint services; defense AI developers could concentrate on designing and producing intelligent sensors, effectors and decision-making solutions, while military end-users would contribute capabilities-based thinking and operational experience. Heiko Borchert runs Borchert Consulting & Research, a strategic affairs consultancy based in Lucerne, Switzerland. Christian Brandlhuber is senior adviser at Reply, a European IT systems integrator, and coordinates the company's AI strategy and activities. https://www.defensenews.com/opinion/2019/09/09/jump-starting-europes-work-on-military-artificial-intelligence/

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