The AI Music Paradox: Attachment to One’s Own AI Creations, Indifference to Others’ AI Works

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Since the emergence of music generation AI, users have begun to develop an attachment to the AI-generated music they create themselves. On the other hand, they show little to no interest in AI music created by others. It’s intriguing, but why is that?

Since the emergence of music generation AI, users have begun to develop an attachment to the AI-generated music they create themselves. On the other hand, they show little to no interest in AI music created by others. It’s intriguing, but why is that?There are several interesting points to consider regarding users’ attachment and indifference towards AI music.

Music That’s Uniquely Their Own

  • Users generate music with AI based on their preferences and instructions, so they tend to feel that the resulting songs are their own original creations.
  • The sense of having created something from scratch makes it easier to develop an attachment.
  • AI music created by others is likely to differ from one’s own preferences, making it harder to generate interest.

Involvement in the Creative Process

  • Users actively participate in the creative process by giving instructions to the AI while making music.
  • People tend to feel attached to creative works they have been involved in.
  • Users are not involved in the process of creating other people’s AI music, leading to indifference.

Ease of Emotional Investment

  • Users can have AI create music that reflects their own experiences and emotions.
  • It’s easier to emotionally invest in songs that contain one’s own feelings, leading to attachment.
  • Other people’s AI music does not reflect one’s own experiences and emotions, making it harder to empathize with.

Emergence of a Sense of Ownership

  • Users develop a sense of ownership over the AI music they generate, feeling that it belongs solely to them.
  • This sense of ownership leads to attachment.
  • Other people’s AI music is not one’s own, so no sense of ownership develops, and interest is not piqued.

Thus, users’ reactions to AI music can vary greatly depending on the depth of their involvement with it. They tend to develop an attachment to music they have actively participated in creating and can project their emotions onto, while remaining indifferent to the creations of others. This might be a psychology that applies not only to AI music but to creative works in general.


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