Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation Safety
The integration of Large Language Models (LLMs) into aviation safety decision-making represents a significant technological advancement, yet their standalone application poses critical risks due to inherent limitations such as factual inaccuracies, hallucination, and lack of verifiability. These challenges undermine the reliability required for safety-critical environments where errors can have catastrophic consequences. To address these challenges, this paper proposes a novel, end-to-end framework that synergistically combines LLMs and Knowledge Graphs (KGs) to enhance the trustworthiness of safety analytics. The framework introduces a dual-phase pipeline: it first employs LLMs to automa...
| Authors | Anirudh Iyengar, Alisa Tiselska, Dumindu Samaraweera et al. |
|---|---|
| Primary category | cs.SE |
| Published | 10 April 2026 |
| Last updated at source | 10 April 2026 |
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