Language Models Inferring Sensitive Personal Traits from User Inputs

Executive Summary

Large language models can accurately infer protected characteristics such as sexuality, religion, and health status directly from user inputs, without those individuals ever appearing in training data. Organisations deploying such models face significant data protection liability and reputational risk where inference-derived profiling occurs without lawful basis or user consent.