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AI Music & Copyright: How to Legally Own and Sell Your Tracks

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Manage episode 502349273 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode, we tackle the critical question of how to legally protect and sell music made with artificial intelligence. As artists and producers increasingly use AI as a creative partner, understanding the rules of copyright is essential to ensure you actually own your work. We break down the official guidance and explain the single most important factor that determines copyright eligibility: human authorship. Imagine you've just created a track with an AI tool that you think could be a hit. You're ready to release it, but you suddenly wonder if you can legally claim it as your own. What if another artist uses the same AI-generated melody. Who gets the royalties. This episode provides a clear, practical guide to navigate this new frontier, so you can protect your creations and your income. In this episode, you will learn: - What is the single most important factor the U.S. Copyright Office considers for AI-assisted music? - How can a simple text prompt determine whether you own your song or not? - What specific steps must you take when registering a song that uses AI elements? - Why is documenting your creative process as important as making the music itself? - Are you accidentally giving away your rights by ignoring the AI tool's Terms of Service? - What’s the difference between using AI as a tool versus a collaborator, and why does it matter legally? - How do you prove "human authorship" if your track includes AI-generated sounds? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

83 episodes

Artwork
iconShare
 
Manage episode 502349273 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode, we tackle the critical question of how to legally protect and sell music made with artificial intelligence. As artists and producers increasingly use AI as a creative partner, understanding the rules of copyright is essential to ensure you actually own your work. We break down the official guidance and explain the single most important factor that determines copyright eligibility: human authorship. Imagine you've just created a track with an AI tool that you think could be a hit. You're ready to release it, but you suddenly wonder if you can legally claim it as your own. What if another artist uses the same AI-generated melody. Who gets the royalties. This episode provides a clear, practical guide to navigate this new frontier, so you can protect your creations and your income. In this episode, you will learn: - What is the single most important factor the U.S. Copyright Office considers for AI-assisted music? - How can a simple text prompt determine whether you own your song or not? - What specific steps must you take when registering a song that uses AI elements? - Why is documenting your creative process as important as making the music itself? - Are you accidentally giving away your rights by ignoring the AI tool's Terms of Service? - What’s the difference between using AI as a tool versus a collaborator, and why does it matter legally? - How do you prove "human authorship" if your track includes AI-generated sounds? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

83 episodes

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