Grimes Tells Twitter Anyone Can Use Her Voice For AI-Generated Songs

In a recent tweet, Canadian musician and ex girlfriend of Elon Musk Grimes has encouraged other artists to use AI to clone her voice and create new songs. She has even offered to split 50% of the royalties with any artist who takes on this challenge.

This proposal follows the music industry’s response to AI-generated songs trained on artists’ voices, with Universal Music recently petitioning streaming services to remove a song using deep-faked vocals from their artists.

Only last week, an AI generated song by Drake and The Weeknd was banned from music platforms.

Grimes has long been interested in exploring the relationship between humans and machines in her music. She has previously worked with AI to create a lullaby for her child using the AI program, MuseNet. Grimes believes that AI can replace humans creatively in the future and has called for a discussion on how involved AI will be in art.

The tweet, which announced that she was happy for her voice to be used, got quite the reception. Within hours, hundreds of users were tagging her in AI-generated music using her voice. She later added that although she was happy for her voice to be used freely, she drew the line at ‘toxic lyrics’ – and she would prefer moving away from ‘political stuff’.

The use of AI in music and art is not a new concept. In recent years, we have seen the rise of AI-generated music, art, and even literature. However, the use of AI in creative industries has also raised concerns about authenticity and ownership.
The music industry has been particularly affected by the use of AI-generated music. With the rise of deep learning and machine learning algorithms, it is now possible to train AI programs to mimic the voices and styles of famous musicians. This has led to the creation of songs that sound like they are performed by famous musicians, but are actually created using AI algorithms.
Despite these concerns, the use of AI in creative industries is not going away anytime soon. AI algorithms are becoming more sophisticated, and it is likely that we will see more AI-generated music, art, and literature in the future. This raises important questions about authenticity, ownership, and creativity in the digital age.
As AI algorithms become more advanced, it is essential that we continue to have discussions about the role of AI in art and music. Only then can we ensure that the use of AI in creative industries is ethical and beneficial for all.