A grounded artificial intelligence agent receives authoritative context from documents, databases, tools or other approved sources. It uses that material to support its output and can preserve references that let a reviewer trace important claims back to evidence.
Grounding is especially important in regulated or high-stakes work, where a plausible response is not enough. The system should control which sources are trusted, surface uncertainty and allow humans to verify the data behind consequential decisions.
Acronyms and aliases
grounded AI agent acronymevidence-grounded agent synonym
General terms
Related terms
Frequently asked questions
How is an artificial intelligence agent grounded?
It is connected to approved sources and tools, instructed to use retrieved evidence and designed to preserve citations or traceable records for review.
Does grounding eliminate hallucinations?
No. Grounding reduces unsupported output, but the agent can still misread evidence or use the wrong source, so important results require validation.
