Evaluating alignment of behavioral dispositions in LLMs

April 3, 2026

Amir Taubenfeld, Research Engineer, Zorik Gekhman, Research Scientist, and Lior Nezry, Psychology Researcher, Google Research

As part of our ongoing exploration of model behavior and alignment, we introduce a systematic evaluation framework that transforms established assessments into large-scale situational judgment tests for large language models. This approach, an attempt to understand and map model alignment, allows for the quantification of model behavioral tendencies relative to human social inclinations, identifying measurable alignment and deviations between model outputs and aggregated human consensus.