How Does Audibin Handle AI-Generated Music?

Audibin keeps human artists at the center with declarations, automated detection, human review, and community reporting.

At Audibin, every artist on the platform is a human one. That is not just a preference, it is foundational to what makes the patronage model work. When you direct your subscription funds to an artist, you are supporting a person. This page explains exactly how we define AI music, how we detect it, and what happens when something gets flagged.


What counts as AI-generated music?

AI-generated music means any track where the core musical content (the composition, melody, arrangement, lyrics, or vocals) was produced by an AI system rather than a human being.

This includes output from tools like Suno, Udio, MusicGen, Stable Audio, and similar generative platforms, whether the output is used directly or as the foundation for further editing.

What does not count as AI music:

We draw the line at the musical content itself, not the tools used to produce it. Human artists routinely use software to enhance their work, and that is fully allowed on Audibin:

  • AI mastering and mixing tools (e.g. iZotope, Landr)
  • AI-assisted vocal tuning or pitch correction
  • Stem separation tools
  • Auto-generated chord suggestions or beat quantization
  • Any tool where a human is making the creative decisions

If you wrote it, performed it, or composed it, and used AI to help polish it, that is human music. If an AI generated the track and you uploaded it, that is not.


How we detect AI music

No single method catches everything, so we use three layers working together.

1. Artist declaration

Every artist who activates payouts on Audibin signs a declaration confirming that their music is original, human-created work. This is not just a checkbox, it is a binding representation that creates real accountability. A false declaration is a breach of our Terms of Service and can result in account removal and clawback of any patronage received.

2. Automated detection

Every track uploaded to Audibin is run through an AI detection model that produces a confidence score. If a track scores above our threshold, it gets flagged for human review, and it is never automatically removed. We set it up this way deliberately: detection models are not perfect, and we would rather have a human make the final call than wrongly remove a legitimate artist’s work.

3. Community reporting

Every track on Audibin has a report button. If a listener or fellow artist believes a track is AI-generated, they can flag it. Every report goes to a human moderator, not an automated system.


What happens when a track is flagged?

Flagged tracks enter a review queue. During review:

  • The track stays live but is demonetized; patronage is paused until a decision is made
  • The artist is notified and given the opportunity to provide context
  • A moderator reviews the track, the flag, and any artist response

Possible outcomes are reinstatement with payouts restored, a warning with a required re-declaration, or removal from the platform. We notify the artist of every decision and explain our reasoning.


Why we do it this way

AI detection is an imperfect science. Current models produce false positives, particularly on heavily produced electronic music, certain hyperpop subgenres, and music made with AI-assisted tools. A system that auto-rejects based on a confidence score would wrongly penalize legitimate artists.

Our approach puts humans at the center of every consequential decision. Automated detection is a signal, not a verdict. Community reports are taken seriously but do not trigger automatic action. And the artist declaration creates a layer of accountability that no detection model can replicate.

This is an evolving area. As detection technology improves and the landscape of AI music tools changes, our approach will too. We will update this page when our policies change.


Questions?

If your track has been flagged and you believe it was incorrectly identified, contact us at support@audibin.com. We review every appeal.

Last updated: 2026-05-08