International Civil Aviation Day

The theme of the  ICAO Innovation  Fair 2025 was "Global Horizons: Inclusive Innovations for Aviation".  The panels and SkyTalks from the recent ICAO Innovation Fair 2025 are now available on ICAO TV! Under the theme of ' Global Horizons: Inclusive Innovations for Aviation ', leaders and subject matter experts took part in substantive conversations, providing important insights on innovation in aviation . The Fair featured a series of panels, which focused on the role of innovation in supporting ICAO's Strategic Objectives at the Global, Regional, and State levels , in line with the ICAO "No Country Left Behind" initiative , while promoting an environment where innovation in aviation can flourish across all ICAO regions . Watch ICAO Innovation Fair 2025 videos now on ICAO TV !

  The rapid integration of Artificial Intelligence and automation into flight operations presents significant safety risks due to global disparities in operational control standards and the erosion of human oversight. This paper calls for ICAO-led harmonization of dispatcher qualifications , AI governance , and human-centric frameworks to ensure that automation enhances—rather than replaces—the critical judgment and accountability of certified Flight Dispatchers worldwide. Background information and possible updates a) note IFALDA’s observations regarding the ICAO's flight dispatcher provisions under Annex 6, Part I; b ) IFALDA feels AI encourages the need to develop enhanced Annex 6 SARPs providing definitive guidance on operational control personnel qualifications and standardized control tiers; c) this would require revising or developing new USOAP Protocol Questions to assess State implementation of relevant Annex 1 and Annex 6 dispatcher provisions; d) this would require ...

  Artificial intelligence (AI) is revolutionizing the aviation industry, optimizing processes and improving efficiency in key areas such as air traffic management (ATM) , predictive maintenance and safety. Its ability to process large volumes of data, including weather information, flight plans and transfers, and to detect patterns, permits route optimization, congestion prediction and risk anticipation, improving safety and efficiency in the use of airspace. AI also affects the development of new forms of air mobility, such as advanced air mobility (AAM) and urban air mobility (UAM) , presenting new challenges for the integration of these operations and human-machine interaction in airspace. It is crucial to understand the potential of AI if we are to meet the challenges posed by increasing automation, and to provide training to prevent over-reliance on systems; the possible effects on operators’ perception of situations, the ethical dilemmas arising from assisted decision makin...

  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...

  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...

 To successfully achieve the Strategic Goals outlined in this plan, ICAO has identified a set of High Priority Enablers. These enablers are critical cross-cutting factors that underpin the successful implementation of the Strategic Goals and ensure that the benefits of aviation are realized across all strategic areas . The High Priority Enablers focus on key areas which are essential for addressing thecomplex challenges facing the aviation industry .  The enablers - ICAO Continuous Organizational Improvement - Innovation - Gender Equality and Attracting New Talent to Aviation - Partnerships, Resource Mobilization and Financial Sustainability By  prioritizing these enablers and integrating them  into the implementation of the  Strategic Goals , ICAO aims to  create a more resilient,sustainable, and inclusive international civil aviation system.   The progress and impact of the High Priority Enablers will be regularly monitored and ass...

  Innovation — recognizing the real and potentialbenefits and challenges that innovation can bringto the air transport sector and providing Member States with the tools, knowledge and mindsets to realize these benefits in a manner that leaves no country behind . Innovation actively promotes ideas on new ways of doing things that support the Organization’s Strategic Goals and increase the efficiency and effectiveness of ICAO . The aim is to encourage innovation to be embedded throughout ICAO ’s work. Innovation in air transport brings huge benefits like faster, connected travel, economic growth, and better passenger experiences (AI, UAM), but faces major challenges: achieving sustainability (emissions), high costs, complex supply chain disruptions (Boeing/Airbus), cybersecurity, and workforce shortages, all while integrating new tech like electric planes and Installing AI into a heavily regulated system. Benefits of Innovation Economic Growth & Connectivity : Drives tour...

  The aviation industry must embrace innovative approaches to business operations and strategies to meet its economic, operational and environmental goals. To develop a shared vision of the innovations required by the industry, the Hermes Air Transport Organisation solicited briefs from associations representing a cross-section of the aviation industry. These briefs provide the basis for a broad set of recommendations on innovating in the aviation industry. 1. INTRODUCTION 1.1 The aviation industry must embrace innovative approaches to business operations and strategies to meet its economic, operational and environmental goals. To develop a shared vision of the innovations required by the industry, the Hermes Air Transport Organisation solicited briefs from associations representing a cross-section of the aviation industry. These briefs provide the basis for a broad set of recommendations on innovating in the aviation industry, as presented below: 2. RECOMMENDATION 1 : ADOPT A C...

  AI definition and demystification The landscape of AI is characterized by dynamic evolution, resulting in a lack of a singular, universally accepted definition. This is primarily due to the broad range of tasks and outputs that AI tools are capable of performing, making it challenging to encapsulate the field within a concise framework. Despite the absence of a definitive definition, several authoritative sources offer valuable perspectives on the essence of AI. A foundational definition, attributed to John McCarthy, who coined the term " Artificial Intelligence ," describes it as the science and engineering of creating intelligent machines. AI is a technology that enables computers or machines to mimic human perception, comprehension, problemsolving, decision-making, creativity, and autonomy. Another relevant definition has been provided by the European Commission: “ AI refers to systems that display intelligent behaviour by analysing their environment and taking actio...

  Aviation context. Challenges more specific to commercial air transport include social acceptance of AI (including workforce empowerment such as pilots, flight crew, maintenance, logistics), trustworthy AI (i.e. explainable, robust, reliable, secure, and ethically aligned), human-AI teaming, employee upskilling (e.g. availability of skills and training needs), and State-level AI sovereignty (e.g. questions of partnerships and collaborations). On a more technical side, risks also concern the development ofembedded hardware and associated AI infrastructure (considering the required investments), cybersecurity (especially for onboard and ground operations), and, last but not least, data strategy—as data is the fuel that feeds AI models. Often mirroring the risks, several opportunities also arise. First and foremost, AI presents a sound opportunity to assist, augment, and support employees, rather than replace them. It allows humans to focus on more complex and rewarding tasks. ...

  AI is offering significant potential for enhanced efficiency, safety, and customer experience. Supply chain management benefits from AI-driven data analysis for smarter decisionmaking. In terms of Supply Chain Optimization for OEMs and MROs, generative AI can revolutionize spare parts management by forecasting demand, optimizing inventory levels (e.g., Just-in-Time inventory), and streamlining the movement of parts across global supply chains. This reduces overstocking, minimizes material delays, and ensures critical parts are available when and where needed. In design and testing , AI accelerates optimization, simulation, and modeling—allowing, for example, the speeding up of physics simulations bringing efficiency to engineering workflows and contributing to enhancing safety . Here again, generative AI is a powerful tool as it can rapidly generate and evaluate countless design configurations for aircraft components and even entire aircraft. This allows for optimization acro...