Synthetic Ethos: When Credibility Is Coded Without Source

Large language models now simulate credible voices without authors or references. This engineered “synthetic ethos” poses epistemic risks in domains like healthcare, law, and education. Based on 1,500 AI-generated texts, the article shows that persuasive fluency is prioritized over traceability, requiring structural responses to detect and regulate credibility without source.