Who Analyses the Analyser? Self-Validating LLM Hazard Analysis with Constitutional Meta-STPA

This paper proposes Constitutional Meta-STPA, a framework enabling large language models to autonomously validate their own hazard analyses for safety-critical systems. The approach applies constitutional AI principles to systems thinking (STPA), allowing LLMs to self-check analysis quality and identify potential failure modes in complex environments.

This paper proposes Constitutional Meta-STPA, a framework enabling large language models to autonomously validate their own hazard analyses for safety-critical systems. The approach applies constitutional AI principles to systems thinking (STPA), allowing LLMs to self-check analysis quality and identify potential failure modes in complex environments. This technique is particularly relevant for regulated industries deploying AI in high-stakes applications where rigorous safety assurance is mandatory.

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