LATIDIA · Investigación

Hacia una capa de garantía de decisión para la planificación de vuelos asistida por IA en la gestión del tráfico aéreo

arXiv: 2609.13552v1Tipo de anuncio: nuevo Resumen: La IA generativa se utiliza cada vez más de manera informal en la gestión del tráfico aéreo (ATM) para tareas como la generación del plan de vuelo, la interpretación de la trayectoria y la verificación de restricciones

La noticia

arXiv:2609.13552v1 Announce Type: new Abstract: Generative AI is increasingly being used informally in Air Traffic Management (ATM) for tasks such as flight plan generation, trajectory interpretation, and constraint checking. Although these tools can reduce workload and accelerate planning, their non-deterministic outputs create safety and operational risks in human-in-the-loop settings. This paper proposes the AI Trust and Assurance Layer (ATAL), a model-agnostic decision assurance architecture that evaluates whether AI-generated flight-planning outputs are sufficiently reliable for operational use. ATAL combines semantic stability under prompt variation, operational consistency of structured outputs, and normative constraint validation against domain rules, and maps these signals to a Decision Readiness Level (DRL) for human operators. An ATM-inspired