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Google and Universal Music are reportedly engaged in negotiations to secure licenses for AI-generated music. This potential collaboration emerges in response to the music industry’s growing challenges and prospects associated with AI-generated deepfake songs. Let’s take a closer look.
According to reports from the Financial Times, Google and Universal Music, alongside other industry players, are considering licensing artists’ voices and melodies to be utilized in songs produced by artificial intelligence. The capacity of AI to convincingly replicate the vocal styles of established artists has emerged as a significant concern for music corporations.
In light of this, discussions between Google, Universal Music, and other stakeholders are exploring other possibilities. Specifically, allowing fans to legally create tracks using AI-generated voices. This process would involve compensating the rightful copyright owners. Therefore, have the opportunity to take part in the AI music endeavor.
This concern has risen from the rise of deepfake songs that seamlessly mimic renowned artists like Frank Sinatra. Even notable modern artists such as Drake and Taylor Swift have “featured” in AI-generated songs, and these have gained widespread popularity. The primary objective now is to integrate AI-generated music into a monetizable framework.
As AI garners prominence in the music sector, some musicians have voiced apprehensions about the dilution of their original works due to fake versions. However, there are artists, like electronic musician Grimes, who have embraced the integration of AI. Grimes uses AI in her creative processes. This does come with complexities, especially in terms of licensing and copyright implications.
For Google, the development of an AI-powered music product could bolster its competitive stance against rivals like Meta. These recent negotiations reflect a new path for AI-generated music. Moreover, the future implications of this collaboration could redefine the music landscape.
Written by: Soft FM Radio Staff
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