Artificial intelligence-generated content is created when a model transforms prompts, context, examples, or source material into a new output. It can support drafting and production, but its fluency does not prove accuracy, originality, provenance, or that cited evidence exists.
Generated material becomes risky when later systems treat it as independent evidence. Clear provenance, source links, human review, correction, and separation between primary reporting and derivative synthesis help prevent machine-generated claims from reinforcing one another.
