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SAE International Establishes a New AI Standards Committee at Le Bourget

SAE International  announced the formation of a new artificial intelligence (AI) standards committee during the 53rd International Paris Air Show  . The SAE G-34 Committee for Applied Artificial Intelligence in Aviation Systems was established to help guide safe and successful adoption of AI technologies through the development of industry consensus standards and recommended practices. With an initial focus on critical fight management systems, the committee will evaluate applications for AI usage in aviation and aerospace and will propose standards to support implementation and certification

AI is poised to transform the aerospace industry, impacting all areas in which computing and aerospace intersect. AI and machine learning is quickly becoming embedded into and transforming digital systems used to design, manufacture, operate, and maintain aerial vehicles. When these technologies are leveraged successfully, it will dramatically change how the aerospace industry operates.

Read more: ANSYS will help Airbus develop AI-enabled flight controls for the FCAS program’s autonomous wingmen

“This new committee is being formed at a critical time as the public takes a hard look at the role automation and machine learning play in flight and in the wider aviation system. Formed from membership across the aerospace and aviation ecosystem, this committee will identify the best practices and will establish the standards that ensure AI can be applied and certified in a manner that achieves these criteria,” says committee chair, Mark Roboff.

William Kucinski  is content editor at SAE International, Aerospace Products Group in Warrendale, Pa. Previously, he worked as a writer at the NASA Safety Center in Cleveland, Ohio and was responsible for writing the agency’s System Failure Case Studies. His interests include literally anything that has to do with space, past and present military aircraft, and propulsion technology.

Contact him regarding any article or collaboration ideas by e-mail at This email address is being protected from spambots. You need JavaScript enabled to view it..

Topics:
Aircraft Aircraft Aircraft operations Artificial Intelligence Artificial intelligence (AI) Automation Automation Automation Automotive Autonomy Aviation Avionics Avionics Big data Cloud computing Command, Control, and Navigation Systems Connectivity Data Acquisition Data acquisition and handling Data exchange Data management Defense Electronics Flight control systems Flight management systems Identification Machine learning Maintenance, repair and overhaul (MRO) Manufacturing & Prototyping Neural networks Product Development Product development Vehicle health management (VHM) Vehicles

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