Сравнение grounding и groundedness. Разберите отличие процесса связывания outputs с источниками от свойства output быть supported by evidence.
Краткий вердикт: Используйте grounding для process or technique; используйте groundedness для evidence-supported quality of generated output.
Grounding describes process of connecting an AI model’s output to trusted, verifiable sources of information at inference time.
Контекст: Наиболее уместно при описании, как generative AI system supplies trusted context to model.
Groundedness describes property of a model output being supported by specific source material or provided context.
Контекст: Наиболее уместно при evaluation whether generated answer is supported by evidence.
| Аспект | Grounding | Groundedness |
|---|---|---|
| Определение | Grounding — процесс connecting model output to trusted, verifiable sources at inference time. | Groundedness — свойство output being supported by specific source material or context. |
| Практическое различие | Описывает, что делает system to supply evidence or context. | Описывает, actually traceable ли resulting answer to that evidence/context. |
| Типичный сценарий | Designing RAG, source retrieval, context injection or factual reliability controls. | Evaluating answers for support, traceability and unsupported generation. |
| Распространённая ошибка | Assuming adding sources automatically makes every answer grounded. | Scoring groundedness without checking exact source material available to model. |
| Значение для governance | Requires controls over source selection, retrieval, context handling and monitoring. | Requires evaluation evidence showing outputs are supported by provided context. |
На практике teams often build grounding and forget to measure groundedness. Compliance value comes from proving generated answer actually stayed attached to evidence.
Использовать grounding and groundedness as synonyms.
Assuming RAG eliminates hallucination by default.
Evaluating groundedness without storing source context.
Treating citations as proof without checking whether cited source supports answer.
Используйте Grounding, когда описывается system design or inference-time process connecting outputs to trusted, verifiable sources. Это термин для RAG-style controls and source-backed generation workflows.
Используйте Groundedness, когда оценивается, поддержан ли конкретный output source material or provided context. Это термин для evidence traceability and answer quality assessment.
Для NIST AI RMF и ISO 42001 controls grounding — mitigation design, а groundedness — evaluation evidence. Governance records should show both control and whether it works in outputs.
Нет. Grounding — process used by system, while groundedness is property of output being supported by evidence.
Да. System may retrieve sources but still generate content not supported by them, so groundedness must be evaluated separately.
Различие отделяет design control from outcome metric. Good governance needs evidence for both.
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