
“Made with AI” is not a complete credit. It does not tell a listener who wrote the lyrics, shaped the arrangement, performed the vocal, selected generations, edited the audio, or approved the final release. A clear project record helps an independent artist explain the work without overselling either the software or the human contribution.
This checklist is a practical documentation tool, not legal advice. Rights questions depend on the facts of a project, the agreements involved, and the law that applies. If ownership or release permission is uncertain, talk with a qualified attorney before distributing the track.
1. Write down the human contribution
Start with actions, not labels. Who wrote or rewrote the lyrics? Who chose the tempo, built the song structure, performed or directed vocals, edited generations, designed transitions, mixed the stems, and approved the master? Save dated lyric drafts, session files, arrangement notes, exports, and version history. The point is not to create paperwork for its own sake; it is to preserve a truthful account of how the record became this record.
The U.S. Copyright Office’s January 2025 report on AI copyrightability says copyright can protect human-authored expression in a work that also contains AI-generated material, while material generated without sufficient human authorship is not protected merely because a user supplied prompts. The Office says these questions are assessed case by case. Read the Copyright Office’s AI study page and reports rather than treating a social-media summary as a ruling on your song.
2. Record what each tool did
Keep a short tool log with the product name, date, version if known, and task. “Generated a harmony idea,” “separated stems,” “cleaned background noise,” and “created a draft instrumental later rearranged by the producer” are more useful than “used AI.” Save the inputs and important outputs when the service permits it, along with the terms that applied when you created them.
Separate generation from ordinary studio assistance. Pitch correction, noise removal, transcription, mastering suggestions, and a generated vocal are not the same kind of contribution. A precise log helps collaborators, distributors, and future you understand the difference.
3. Confirm permission for people, voices, and source material
Do not imitate or clone a real person’s voice, likeness, or identifiable performance without clear permission. Confirm that every collaborator agreed to the released use of their performance. If outside samples, beats, lyrics, or recordings entered the project, document the license or permission rather than assuming an AI tool made the issue disappear.
For a collaboration, decide in writing who controls the sound recording, who owns each human-authored composition contribution, how revenue will be split, and who can approve changes. The reviewed IHHR artist forum is a place to discuss collaboration ideas publicly; keep private files, contact details, and actual deal terms off the open forum.
4. Build credits listeners can understand
A useful credit can name the songwriter, performer, producer, mix and mastering roles, and the specific AI-assisted process. For example: “Lyrics and vocal performance by A; production and arrangement by B; generative tool used for an early harmony sketch; final selection, editing, structure, mix, and master by B.” Use wording that matches what actually happened. Do not award a human role that nobody performed, and do not hide a material synthetic voice or performance behind vague language.
Keep the detailed project log even if a distributor offers only a short credit field. If the release platform asks direct questions about synthetic or AI-generated content, answer them accurately under its current rules. Platform forms and terms change, so check them again at the time of release.
5. Handle registration carefully
The Copyright Office’s registration guidance for works containing AI-generated material instructs applicants to disclose AI-generated content and describe the human-authored contribution. Registration is not the same as release credits, but both benefit from the same accurate record. If a registration matters to your release plan, review the current official instructions or get advice specific to your work.
Use the checklist before the master leaves the room
- List every human creator and what each person contributed.
- Log each AI tool and the exact job it performed.
- Save dated drafts, sessions, key outputs, licenses, and permissions.
- Confirm voice, likeness, performance, beat, and sample permissions.
- Agree on composition, master ownership, approvals, and splits.
- Write a listener-facing credit that is specific and honest.
- Recheck the distributor’s current disclosure rules before upload.
Then test whether the credit matches what another person hears. The IHHR guide to useful track feedback gives collaborators a shared way to discuss the record, while our listener’s guide to original and AI-created hip-hop explains why attribution belongs in the listening conversation. Protect your ears during those review sessions with the safe headphone listening guide.
Visit The Signal for more independent-music guidance, or listen live to IHHR and hear how different creative approaches meet in the station mix.
Sources: U.S. Copyright Office, Artificial Intelligence Study and Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence, accessed October 5, 2026.
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