Utilizing AI for Aviation Post-Accident Analysis Classification

This paper explores how AI, particularly NLP and deep learning, can automate the analysis of aviation safety reports to improve accuracy and efficiency in identifying safety issues, such as damage levels and flight phases. It also investigates the use of Topic Modeling to uncover recurring themes, with findings indicating these methods can significantly enhance proactive safety management.