Showing your work in AI — identifying which sources an AI response drew on, so users can verify claims and understand where the information came from.
Showing your work in AI — identifying which sources an AI response drew on, so users can verify claims and understand where the information came from.
Source attribution connects AI output claims to retrievable evidence, addressing both hallucination risks (if a claim cannot be attributed, it may be fabricated) and accountability requirements (users must be able to verify AI-generated assertions). Attribution quality dimensions include correctness (the cited source actually supports the claim), completeness (all major claims are attributed), precision (the attribution identifies the specific passage, not just the document), and accessibility (users can reach the cited source). EU AI Act transparency obligations and GDPR accountability principles create implicit attribution requirements for high-stakes AI-generated content.
Enterprise AI deployments in legal, financial, and compliance contexts should implement citation-level attribution — enabling specialists to verify AI-generated analysis against source documents before acting on it.
Like footnotes in a research paper — each significant claim is backed by a specific, traceable reference that readers can consult to verify the assertion.
Showing your work in AI — identifying which sources an AI response drew on, so users can verify claims and understand where the information came from.
Source attribution connects AI output claims to retrievable evidence, addressing both hallucination risks (if a claim cannot be attributed, it may be fabricated) and accountability requirements (users must be able to verify AI-generated assertions). Attribution quality dimensions include correctness (the cited source actually supports the claim), completeness (all major claims are attributed), precision (the attribution identifies the specific passage, not just the document), and accessibility (users can reach the cited source). EU AI Act transparency obligations and GDPR accountability principles create implicit attribution requirements for high-stakes AI-generated content.
Enterprise AI deployments in legal, financial, and compliance contexts should implement citation-level attribution — enabling specialists to verify AI-generated analysis against source documents before acting on it.