Large Language Models (LLMs) are reshaping communication, information exchange, and human decision-making at scale. While their capabilities offer efficiencies and new forms of connection, they also introduce substantial risks—ethical, psychological, social, and technological—that demand urgent consideration from technologists, policymakers, and the public.
This report synthesizes current research, expert analysis, and ongoing conversation to explore these risks, focusing on the unique concept of retrolanguage—the subtle and potentially dangerous drift in linguistic meaning enabled by LLMs.
