Implementing factual accuracy controls. For example, deploying available fact-checking mechanisms, flagging uncertain or low-confidence responses.
Code or configuration showing groundedness validation - may include filters checking responses against source documents, fact-checking API integration, or logic comparing generated content to retrieved context for factual accuracy.
Establishing information source validation. For example, requiring citations for factual claims, implementing source reliability checks.
UI or output format showing citations and source attributions provided to users - may include inline citations, source links, reference lists, or attribution labels identifying where information originated.
Maintaining uncertainty communication. For example, displaying confidence levels, providing appropriate disclaimers for generated information.
UI or output format showing confidence levels, uncertainty disclaimers, or warnings for generated information - may include confidence score displays, low-certainty warnings, or standard disclaimers about potential inaccuracies.
Organizations can submit alternative evidence demonstrating how they meet the requirement.