AI RESEARCH
Propensity Inference: Environmental Contributors to LLM Behaviour
arXiv CS.CL
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ArXi:2604.21098v1 Announce Type: cross Motivated by loss of control risks from misaligned AI systems, we develop and apply methods for measuring language models' propensity for unsanctioned behaviour. We contribute three methodological improvements: analysing effects of changes to environmental factors on behaviour, quantifying effect sizes via Bayesian generalised linear models, and taking explicit measures against circular analysis.