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    Grounding (AI)

    AI grounding means connecting an output to verifiable information. In quality assurance, each important statement is checked against a suitable source. A reference link alone is not sufficient.

    Grounding (AI) explained

    The workflow starts with a defined set of sources: which specification, approved brief or published report applies to the task? Version and scope should be identifiable before drafting begins.

    After generation, check the correspondence. Does the source support the whole statement or only part of it? Were limitations omitted? Was an association turned into a causal claim? These shifts remain possible even when every paragraph has a link.

    A useful checklist distinguishes supported facts, editorial interpretations and hypothetical examples. An interpretation may be valuable, but should remain identifiable as an interpretation. Conflicting sources need clarification instead of silent blending.

    Fine-tuning may change model behaviour. It does not establish which current source supports an individual statement. Source checking and subject-matter approval remain separate steps for a verifiable publication.

    Examples

    Hypothetical application

    A team prepares a professional article and records each central figure’s source, period and definition. An AI draft confuses a share of survey respondents with market share. The editor corrects the statement before publication.

    Key Points

    • Check the precise meaning of statements.
    • Identify facts, interpretations and examples.
    • Training does not replace current source verification.

    Practical application

    Record central draft claims in an evidence list with period and context.

    Useful measures

    Fully reviewed central claims

    Share with checked evidence, context and a clear approval status.

    Common mistakes

    • Presenting correlation as proven causation.
    • Treating source count as a comprehensive quality measure.

    Sources and context

    Frequently Asked Questions about Grounding (AI)

    A traceable connection between a claim, its source and scope, rather than the number of links alone.

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