AI, digital assets & information verification

AI output can help organise questions and prepare working text. However, natural language and citation-like references do not establish accuracy. NIST’s generative AI profile discusses confident but erroneous output, and the need to verify sources and citations included in generated material. Those are questions about evidence, not simply the quality of writing.

This theme does not assign a universal rating to AI capability. It examines what should be checked before an output is used in a decision. A similar distinction is useful for digital assets: identify what a screen or record demonstrates and what remains unestablished. The convenience of a technology and its fitness for a particular decision are separate questions.

• Origin: Does the underlying source exist, and can its actual content be read?
• Scope: Does it apply to the country, transaction and point in time being considered?
• Support: Does the cited passage support the claim made in the output?
• Omission: Has a summary left out uncertainty, exceptions or important conditions?
• Use: Can the sensitivity of the input and the scope of the resulting decision be managed?

Suppose an AI summary says that an agreement “can be terminated at any time”. This is a hypothetical illustration. The original may include a notice period, charges or other conditions. The sentence should therefore not be treated as a sufficient basis for a decision. Return to the relevant provision and identify any conditions missing from the summary.

Record the provision and version checked, the corrected summary and any remaining question of interpretation. One accurate answer does not establish that the rest of the agreement, a later document or a different jurisdiction will be handled correctly. The scope of the check should remain visible alongside its result.

When comparing information, use common headings for who issued it, when it applied, what it covered and what it was checked against. Several pages repeating the same statement may all rely on one unverified original. Repetition should not automatically be counted as independent corroboration. Trace the relationship between the sources before assigning them additional evidential weight.

• Record the source URL, title, relevant passage and date checked.
• Examine the sensitivity of the information entered and the conditions of the service being used.
• Distinguish the permitted use of an output from decisions requiring further human assessment.

A displayed digital-asset balance or a successful transfer can provide evidence about a technical state. It does not necessarily explain contractual claims, the connection with an underlying asset or the responsibilities of a custodian. The UNIDROIT principles on digital assets distinguish control, proprietary rights and the legal effects of links to other assets. These principles are not a substitute for checking the applicable law and arrangement.

Avoid moving directly from an AI explanation or a technical record to a legal conclusion. Identify the open question, then return to source material, service terms and specialist review where necessary. That discipline makes it possible to use a convenient tool without giving its output a broader evidential role than the actual checks support.