Airbus // Universal Registration Document 2021

1. Information on the Company’s Activities / 1.3 Other Corporate Activities

Airline Sciences The aim of the Airline Sciences team is to provide an operational digital representation of an airline in all its complexities and business models. Having a bottom-up approach enables the Company to test out different aircraft technologies and concepts, validate product strategy, help out in sales campaigns, develop new services and, more importantly, understand the customers’ perspective across all layers of the Company. Against the backdrop of the ongoing COVID-19 crisis, and of the greater shift towards reducing aviation’s global environmental footprint, the Airline Digital Twin capability was heavily used to assess CO 2 and non-CO 2 effects, including comprehensive emissions calculations as well as operational sensitivities around contrail avoidance. Beyond the traditional emissions calculations, we have also started incorporating the predicted climate impact. This exploration will take several years, but is key in buttressing any future global climate impact legislation and key technologies development. Finally, in the context of Aircraft Sales campaigns, the Airline Digital Twin was used in supporting Ultra-long-haul A350 studies for various potential customers. A comprehensive market assessment was carried out, including building an optimal airline fleet and product strategy to maximise airline profitability. Artificial Intelligence (“AI”) After successfully applying AI across the business domains, the Company is now accelerating and maturing its industrial setup to deliver AI at scale. This includes a focus on making available reusable and accessible core AI technology capabilities and patterns, to accelerate the time to market as well as increase the capacity to deliver AI products and services. These capabilities include: – – Computer vision to enable visual quality inspection and improve the safety and quality of our manufacturing environment. – – Pattern recognition and time series analysis to detect anomalies and avoid failure in our industrial machines and aircraft. – – Natural language understanding and processing to classify data ( e.g. export control) and secure our compliance. – – Optimisation to improve scheduling and planning activities. – – Hybrid modelling through machine learning to build surrogate models of physical systems, accelerating design activities and increasing potential design space. They are being complemented with a central governance and life cycle management of a wide range of operationalised artificial intelligence and decision models (ModelOps) framework which will further pave the way to ensure compliance for using AI in safety relevant systems in line with upcoming regulations. Internet of Things (“IoT”) In 2021, the IoT platform has become the core standard industrial platform aiming at transforming any connected object data into a standardised, structured data-set, usable from any industrial application. A self-service dashboard has been created to allow any user to connect its objects and create its own data flow and alerting system.

The platform is ready to support hundreds of thousands of objects with industrially automated operations. Any industrial application in the DDMS landscape can then be developed using IoT data: track and trace (tracking objects), metering (getting sensors level), traceability (using RFID technology) or machine data (robots or industrial machines). Virtual, Augmented and Mixed Reality The presence of mixed reality is increasing and will be used everywhere in our lives in the coming years. In 2021, we have prepared a common Airbus wide platform aiming to support use cases needing augmented or virtual reality. Augmented and virtual reality solutions are already implemented in Airbus Defence and Space, and Airbus Helicopters; they will be implemented in Airbus Commercial in 2022. Augmented reality coupled with IoT and data flows, bringing contextualised data closer to the worker, will increase efficiency and product quality for the augmented worker. Automation and Robotics In 2021, Digital & Information Management has created and formalised the necessary architecture foundations for an implementation of production robotics. All data coming from the shop floor to Airbus Information Systems goes through the Airbus manufacturing integration layer before being transferred to manufacturing execution system (MES), IoT Platform or shop floor monitoring applications. This manufacturing integration layer is securing cyber security of operations, data safety and data integrity, along with additional features like data contextualisation and edge computing covering high frequency data acquisition. It is providing a single source of industrial automation data to all applications, and making ready for a harmonised and secure connection of production robotics. Additionally, a test bench for autonomous guided vehicles (AGVs) was established in the industrial environment in order to allow the testing of AGVs in a robot-human interface, as well as the development of tracking solutions. Cyber Security In 2021 we have seen a new step on the cyber security transformation journey with the introduction of the new management team and the growth of the internal team in Europe, as well as in India. Together, we have built on the great foundations that have been put in place over the last few years. We have introduced more structure, with the associated routines and rituals, but importantly more collaboration with the other information management domains, the other Airbus Divisions, the subsidiaries and affiliates and the corporate security teams. All of this will enable us to develop a greater cyber security capability right across Airbus. This year we achieved another increase in Cyber Security maturity, translated into an important reduction of the 16 high-level risks we use to track, report and prioritise. We saw key extensions to the Security Operations Centre and remediated a further 68 critical systems. All supplier pool rooms were migrated to standard secure connections and 182 industrial assets have been segregated on a dedicated network. This all in parallel to providing key architecture and consultancy services across the Company.

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Airbus / Registration Document 2021