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TERATEC 2026 Forum
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Simulation . HPC/HPDA . Artificial Intelligence . Quantum Computing
Tuesday October 20
Workshop 03 - 4:00 pm to 6:00 pm
AI in Industry: From Design to Production
Chaired by Mathilde Mougeot, Professeure des Universités, ensIIE & ENS Paris-Saclay and Vivien Clauzon, Principal numerical scientist HPC, Michelin

Safe integration of AI in aeronautics
By Jayant Sen Gupta, Head of Airbus AI Research, Airbus

Artificial Intelligence (AI) is no longer just a trend, but a reality deeply embedded across all levels of Airbus. Its integration is designed to propel our company toward unprecedented operational excellence throughout our products' lifecycle and to drastically enhance our products and services. Indeed, AI is essential for drastically improving the performance and safety of our aircraft, thereby giving us a distinctive competitive advantage. It is also the indispensable lever for optimizing our internal operations, whether in design, development, testing and certification phases, or in production and assembly. AI also streamlines our knowledge management and transforms our daily activities.

However, in the critical field of aeronautics, this massive adoption is intrinsically linked to a non-negotiable requirement: safety. This is where the need for safe integration takes on its full meaning. To fully exploit AI's transformative potential without compromising reliability, we must have robust methods for its certification. Therefore, integrating AI safely is not merely a technological option, but the absolute condition for ensuring the continuity of the highest standards of safety and trust, which are the foundations of our industry.

Biography: Since joining Airbus in 2005, he has built a distinguished career bridging traditional aerospace engineering with cutting-edge data science. For his first eight years at the company, he specialized in Uncertainty Propagation and Prognostics and Health Management (PHM), successfully developing predictive maintenance solutions integrated into Airbus Customer Services. Transitioning entirely into data science, Dr. Sen Gupta worked on time series analysis, such as applying deep learning and Generative Adversarial Networks (GANs) to detect anomalies in complex time-series data. He then moved to trustworthy AI, spending two years seconded to the DEEL project from IRT St Exupéry. Since 2021, he has led the Artificial Intelligence domain of Airbus corporate research center.

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