For artists and producers using AI tools: establish a practical pre-release checklist to audit for voice imitation, verify tool terms, and document ownership so you know exactly when your work is ready to share.

What you will be able to do

Categorize AI outputs: Distinguish between generic and derivative AI outputs to identify which materials require person-specific permissions. Use this in your studio workflow to flag risks before a sketch becomes a master.
Audit for voice and samples: Perform a focused audit of your tracks to identify unauthorized voice imitation or hidden sample usage. This prevents the release of material that leans on another artist's identity or IP.
Verify tool terms of service: Cross-reference your tool's terms of service against your intended use of the final master. Ensure that the platform's ownership rules align with your plans for commercial release and streaming.
Build a professional release record: Create a comprehensive track sheet that separates composition credits from recording credits. Use this record to document the consent and attribution of every human and AI contributor involved.
Recognize legal escalation triggers: Identify the specific technical and contractual triggers that indicate a risk is too high to handle alone. Know exactly when to stop the release process and escalate the matter to a music attorney.
Execute a pre-release checklist: Apply a practical, step-by-step pre-release check to your project to identify rights risks. Use this final gate to ensure every asset is legally and ethically ready for public distribution.

Taught at learn.c-o-u-r-s-e-s.com: lessons that adapt to your level, an AI tutor you can ask anything, quizzes and flashcards, and a certificate when you finish.

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Music teams

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