Disclosure should help an audience understand a work, not act as a scarlet letter or a marketing badge. “AI-assisted” can describe anything from spelling correction to generating a lead vocal. Those uses have very different implications for authorship, consent, and the listener’s experience. If a label does not distinguish them, it invites more confusion than trust.
A useful note names the role of the tool. “Human-written and performed; AI-assisted transcription used to prepare captions.” “Photographs by the artist; generated textures incorporated into the poster.” “Synthetic narration used with permission from the named speaker.” The language need not catalogue every plugin or export setting. It should identify the steps that a reasonable audience or collaborator would consider material.
Credits should also preserve human labor. If a designer selected and rebuilt an image, credit the designer. If a musician recorded a vocal later processed with software, credit the performer. If no human performed a part, do not imply otherwise. The U.S. Copyright Office has emphasized that using an assistive AI tool does not, by itself, remove protection from a larger human-authored work; the nature of the human contribution matters. That is a useful reminder against all-or-nothing descriptions.
The best disclosure is specific, ordinary, and easy to find. It helps audiences decide what they value while giving working creators room to use tools without being misclassified. We can be transparent without pretending every production decision is the same.
Source notes
This is guide, not a reported interview. AI-assisted drafting and original generated editorial artwork were reviewed for publication; the artwork does not depict a documented event.