How to check AI-generated evidence before it reaches your board
Before an AI-assisted brief reaches the board, trace every material assertion to an opened original source and confirm that the source supports the exact wording. Check calculations, dates, quotations, and limitations separately. Remove or qualify unsupported claims instead of treating a plausible citation or working link as verification.
AI evidence verification is the comparison of material generated assertions with original evidence before those assertions inform a consequential decision. This is a proposed review practice. Its immediate risk foundation is NIST’s 2024 Generative AI Profile, which identifies confabulation, including confidently presented erroneous or false content. The profile does not establish that a particular model, citation, or board brief is accurate.
Open the citation the sentence depends on
Composite scene: You prepare a board brief at home and click a polished research citation. The page exists. It concerns a different population, and the number in the draft is absent from the accessible paper. The citation looks complete while leaving the material assertion unsupported.
Record the mismatch before editing around it. Identify the claim the sentence makes and which part the source can actually support. A real source may justify a narrower statement. It may also be irrelevant to the proposed conclusion.
Do not ask the same system to reassure you that its citation is genuine and treat the answer as an independent check. Locate the original evidence through an appropriate source route and inspect it. If access is unavailable, preserve that limitation rather than marking the claim confirmed.
Separate source identity, support, and inference
Source identity asks whether the cited work is the work described. Support asks whether it contains evidence for the assertion. Inference asks whether the conclusion drawn from that evidence is justified for the decision at hand.
A verified title and author do not settle support. A supported finding in one context does not settle its relevance to your company. A calculation can be arithmetically correct while using an input that the source never supplied.
Use these distinctions throughout the review. They prevent a single successful check, such as opening a publisher page, from being treated as clearance for the whole paragraph. Qualified specialists should evaluate consequential legal, financial, clinical, scientific, or technical conclusions within their competence.
The source-opening claim trace
1. Extract material assertions from the brief
List the statements that could change the board’s understanding or choice. Include figures, dates, quotations, study findings, comparative claims, and assumptions presented as facts. Also inspect headings and charts, where an unsupported conclusion can be more prominent than in the prose.
Assign an owner to the review. Distinguish an internal company input from an external research claim. The first needs verification against authorized company evidence; the second needs the relevant original source. A bibliography alone does not show which claim each entry supports.
2. Open and identify the original source
Confirm title, author or issuing body, publication details, and the relevant document version. Use primary research, official guidance, or another source appropriate to the assertion. A search summary can help locate the work but should not replace the source passage.
Check what actually loaded. A functioning URL may return a challenge page, a redirect, an abstract, or a different document. Record the accessible content honestly. If only an abstract is available, limit the assertion to what that abstract supports or obtain appropriate access before claiming more.
3. Compare exact scope and wording
Locate the relevant passage or data. Check population, setting, time period, measure, and conditions. Distinguish a study’s result from the authors’ interpretation, a proposed theory, or a cited finding from another paper.
Inspect qualifications that compression may remove. Association is different from a demonstrated causal effect. A finding about liking is different from a purchase outcome. A proposed framework is different from an intervention shown to work. Retain the distinction the source actually supports.
4. Recompute numbers and verify quotations
Have a qualified reviewer trace calculations to the actual inputs and method. Check units, denominators, date ranges, and whether a change is expressed as a percentage or percentage-point difference. Verify any chart against the same source and scope.
For quotations, compare the exact words and context. Do not place a generated paraphrase inside quotation marks. If the identity of the speaker or the source of a statement is unresolved, remove the attribution or label the gap appropriately. Never manufacture a missing passage to complete the brief.
5. Approve a bounded version with a trace
For each retained material assertion, preserve its source, supporting location, reviewer, and limitation. Remove a claim that cannot be supported. Qualify an inference where the evidence supports only a narrower conclusion.
The final decision owner should understand what remains uncertain. Professional review and formal authorization remain separate from editorial checking. Do not describe a legal or financial conclusion as approved merely because its cited document was successfully opened.
Build a claim ledger the board preparer can use
Useful fields include exact assertion, source, supporting passage or table, scope limitation, calculation method, reviewer, status, and approved wording. Link to the actual version reviewed where permitted.
Use clear statuses such as supported, corrected, unresolved, and removed. Avoid a general confidence score that conceals what has or has not been checked. A person preparing the final deck needs to know which wording may be used, not merely how persuasive the source looks.
Keep source excerpts proportionate and respect applicable access and copyright conditions. The ledger should identify support without turning into an uncontrolled copy of every document. Restrict confidential company information to authorized reviewers.
Work through a hypothetical research claim
Suppose a draft says a psychological intervention improves enterprise sales. The linked paper instead measures a different response in a laboratory task. The source may be real, but the commercial assertion is not established by that link.
Identify what the paper actually measured. If relevant, write the bounded finding and explain the lack of demonstrated transfer to the business outcome. If the board decision does not need that narrower point, remove it rather than preserving an impressive but irrelevant citation.
Do not substitute another generated citation until that source has also been opened and inspected. The task is to support the claim or change it, not to keep searching until a plausible title appears.
Work through a hypothetical company calculation
Suppose an AI summary combines two internal reports with different periods and presents a single performance improvement. Ask the authorized finance or analytical owner to establish whether the inputs can be compared and how the metric should be calculated.
A valid arithmetic operation does not resolve mismatched definitions. Correct the inputs and method, then update the prose, chart, and conclusion together. If the evidence cannot support the comparison, remove it from the board version.
Preserve the original error in the review record where appropriate, while ensuring the final reusable material contains the correction. A private note does not repair an old chart that remains in the shared deck.
Use risk guidance to assign responsibility
The 2023 NIST AI Risk Management Framework organizes work around governing, mapping, measuring, and managing risks. Applied here, identify who can verify the evidence, who can judge the inference, and who authorizes the consequential use.
The framework is voluntary guidance, not a certification that a brief is reliable. Completing a checklist does not establish that the reviewer understood a paper or that the decision owner received the limitations.
Ask what happens when a source is unavailable near the board deadline. An authorized preparer may need to narrow the claim, label an unresolved question, or omit the assertion. A deadline does not make missing evidence appear.
Protect the material used during verification
The 2020 NIST Privacy Framework addresses privacy risks from processing information about people. Verification can involve confidential company records, customer information, or employee data. Qualified privacy, legal, and security owners should review the actual handling arrangement.
Do not upload a confidential board packet to an unreviewed system because it is convenient for checking citations. Use approved access and tools. Consider working notes, exports, and provider arrangements as well as the final document.
The framework does not determine what your company may disclose or process. Keep permission and claim accuracy as separate checks. A correct statement can still be mishandled if its source information is shared outside authorized access.
Preserve corrections in the reusable source
When a claim changes, identify where the earlier wording appears. Update the deck, executive summary, notes, and templates under their proper owners. Avoid adding a correction only to a private review conversation.
If the earlier claim has already informed a consequential decision or external statement, obtain the appropriate professional and management review of the response. Do not improvise a remedy or assume a quiet edit resolves every implication.
Industrial/organizational psychology, the psychology of work and organizations, is relevant to how teams evaluate evidence and distribute accountability. It should not be used as a label that makes an unverified generated claim look more authoritative.
Release the brief with its limits intact
Before sharing, sample the trace from the final wording back to the actual source and check that material qualifications survived editing. Confirm that charts and summaries match the approved version.
Record which claims remain unresolved and who owns the next check. The useful board brief gives decision makers accurate support for the choice, including uncertainty, rather than a fluent presentation whose citations have never been asked to bear its claims.
Related reading: What ethical influence looks like in consequential business decisions, How to use AI as decision support without outsourcing judgment, When should AI research give way to real customer conversations?, How to make board presentations lead to clear decisions.