Topic

Citation Integrity

Citation integrity refers to the accurate attribution and proper documentation of sources used to support claims, data, and reasoning in AI systems and reports. In enterprise AI governance, citation integrity is critical because it enables auditability, accountability, and reproducibility of AI-driven decisions while helping organizations verify that their systems appropriately credit training data sources and external references. Maintaining strong citation practices also protects against misinformation, intellectual property violations, and regulatory violations in regulated industries where documentation of evidence and sources can be legally required.

1 item