Core Viewpoint - The Civil Aviation Administration of China (CAAC) has released the "Implementation Opinions on Promoting High-Quality Development of 'Artificial Intelligence + Civil Aviation'" to guide the integration of AI in six key areas, aiming for significant advancements by 2027 and 2030 [2][6]. Group 1: Key Areas of Focus - The six key areas identified are safety, operations, travel, logistics, regulation, and planning and construction, with a framework for intelligent application scenarios [3][4]. - Specific applications include safety risk warning, operational optimization, passenger convenience services, logistics efficiency, and precise regulatory decision-making [3][4]. Group 2: Implementation Goals - By 2027, the goal is to achieve initial integration of AI in civil aviation, with foundational elements like high-quality data sets and infrastructure platforms showing early results [6]. - By 2030, the aim is for widespread and deep integration of AI across all civil aviation sectors, enhancing safety, operational efficiency, service quality, and resource allocation capabilities [6]. Group 3: Application Scenarios - In the "AI + Safety" area, applications will focus on flight safety, airport operations, air traffic risk warning, and emergency response [3]. - The "AI + Operations" segment will enhance flight scheduling, resource allocation, and multi-entity operational coordination through data fusion and predictive analytics [3]. - The "AI + Travel" aspect will improve passenger experience through personalized services and intelligent guidance [4]. Group 4: Guidance and Standards - A reference guide for AI application scenarios has been developed, categorizing 42 specific applications based on their maturity and implementation conditions [5]. - The CAAC plans to establish AI application standards tailored to civil aviation, covering data governance, algorithm interfaces, and performance testing [7].