Artificial intelligence (AI) is seeing rapid advancements and increasing adoption across many industries, including aviation, with applications ranging from predictive maintenance to safety oversight, air traffic management and operational decision support. These technologies offer transformative potential but also raise new challenges relating to oversight and accountability, ethics and equality of access, and consistent safety outcomes and automation dependency, particularly when AI operates on probabilistic or opaque logic. This paper proposes that ICAO take a leading role in studying, standardising and adapting the safety applications of artificial intelligence in aviation. Action: The Assembly is invited to request the ICAO Council to: a) establish a structured collaboration platform with UN bodies, standards organizations, industry, and academia to identify aviation-specific risks, use cases, and ethical concerns; b) conduct a global scoping study on current AI applications...
Airframes of advanced concept aircraft are benefiting from optimal structural topologies. The efficiency of structures capable of withstanding extreme loads is ever increasing, reducing the overall weight and influence of the airframe on aircraft emissions . Newer and better load alleviation technologies are emerging, and so are beneficial weight reductions inherent in Improved manufacturing processes . The enhanced ability to apply these technologies and improved production processes across a wider range of aircraft sizes also broadens their benefit to the overall fleet. Important guidance for this effort is provided in the latest revision of SAE document ARP 475 ( Guidelines for Development of Civil Aircraft and Systems ) and ARP 476124 ( Guidelines and Methods for Conducting the Safety Assessment Process on Civil Airborne Systems and Equipment) .
This information paper provides an overview of the evolving role of artificial intelligence (AI) in theaviation sector , with the aim of supporting informed dialogue among States and stakeholders. It seeks to clarify the definition of AI , address common misconceptions, and provide a balanced perspective on its current and potential impact. The paper presents the state of the art in AI technologies, outlining both the opportunities and challenges they pose for civil aviation. It reviews the current applications of AI across various domains, including aircraft operations, air traffic management, maintenance, and customer services, and offers a prospective view on how these technologies may evolve. Recognizing the importance of safety and trust in aviation, the paper also explores considerations related to the certification of AI systems, including the scope and potential limitations of existing approaches. Finally, the paper proposes a way forward within the ICAO framework, enco...
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