Large language models enable low-cost mass surveillance and political censorship

Executive Summary

LLMs can build high-accuracy text classifiers from minimal training data, making automated identification of political dissent and targeted censorship significantly cheaper and more scalable. Boards must assess exposure to reputational, regulatory, and human rights liability where AI tooling could be misused by state or malicious actors.