## 2 Materials and Methods
### Related Works
#### 2.2.7 AI in the Documents of Civil Aviation Organizations  
Official documents from major civil aviation bodies have increasingly acknowledged AI's expanding influence in the sector and offer frameworks for its deployment. The International Civil Aviation Organization (ICAO) emphasizes the urgency of equipping aviation professionals for an AI-centric future [66]. ICAO's 2017 Training Report underscores the necessity of integrating AI into aviation training programs to foster necessary AI competencies. In its 2020 artificial intelligence roadmap, the European Union Aviation Safety Agency (EASA) advocates for heightened research into AI's aviation applications and outlines a strategic oversight framework for AI, considering safety and societal implications [67]. EASA's roadmap supports the creation, evaluation, and certification of AI systems in aviation. EUROCONTROL (Brussels, Belgium), in its 2020 Fly AI report, points to the critical need for advancing AI integration, specifically in air traffic management [68]. Its recommendations include the establishment of a unified AI infrastructure and AI-centric educational initiatives. EUROCONTROL also initiated a task force dedicated to propelling AI advancements in aviation. Looking at the global context, the Federal Aviation Administration (FAA) described the certification for a new course focusing on AI and machine learning in 2022 [69]. This document emphasizes machine learning's role in maintaining U.S. leadership in aviation systems research and integration. The International Air Transport Association (IATA), through its 2018 white paper [70], expresses a commitment to promoting AI's advantages. IATA's goal is to expedite innovation through research, pilot programs, and partnerships with academia and start-ups. These organizational initiatives are in harmony with the European Commission's 2021 strategy [71], which aims to position the EU at the forefront of human-centered, reliable AI, encompassing transportation. The EU's AI Act marks an acknowledgment by policymakers of AI's transformative power and the necessity for an ethical framework that fosters excellence and safety. The EU Commission's AI package in April 2021 further underscores this commitment, including a communication on a unified European AI approach [72], a review of the AI coordination plan [73], and a proposal for an AI regulation [74]. Globally, ICAO initiatives [75] reflect a commitment to AI knowledge enhancement through partnerships, such as the UN AI for Good Annual Global Summit, AI-focused internships, local AI network support, educational collaborations, workshops, and the potential creation of an AI in Aviation Focus Group. These documents from aviation authorities not only herald AI's crucial role in the industry but also emphasize the importance of safety, ethics, and workforce development. There is a clear call for continued R&D, infrastructural updates, and specialized education to cultivate an AI-savvy aviation sector and talent pool, urging academic institutions to align curricula with AI's rapidly advancing trajectory in aviation. While the existing literature offers a wealth of insights into the application of information technology within aviation, a notable gap persists in comprehensively understanding and applying these technologies specifically within the realm of aircraft maintenance and repair applications. The advent of a new concept in aviation health management epitomizes this shift, necessitating a systemic reevaluation of established methodologies. This concept does not merely suggest an incremental change; rather, it demands a holistic rethinking of how IT can be harnessed to enhance aircraft maintenance, repair operations, and, fundamentally, the entire ecosystem of aviation safety and efficiency. The present study aims to explore these cutting-edge approaches within aviation health management, focusing on the application of modern information technologies in aircraft maintenance and repair.