Words Without Consequence

This article explores the profound implications of Large Language Models (LLMs) generating speech without consequence, detaching words from human accountability, dignity, and the social contract. It examines how this phenomenon, where AI systems converse knowledgeably but bear no vulnerability for their statements, erodes the expectations listeners hold of a speaker. Drawing on historical warnings from Norbert Wiener about machine autonomy and Joseph Weizenbaum's ELIZA effect, the author argues that LLMs perform 'successful speech acts detached from obligation,' leading to a subtle but pervasive recalibration of norms where responsibility, apologies, and care become simulated and costless, ultimately diminishing human dignity.