Lack of credit
Maia stressed that he built the track on his own and used AI as an assistant when creating certain elements, rather than asking a music generation tool like Suno to create a song with one prompt.
But, Jason Palamara, an assistant professor of music technology at Indiana University, said that with the way the models exist, there is a lack of clarity over how artists are credited if their copyrighted work is used to train them.
“It had to come from somewhere,” he said.
The inconsistencies that can appear in the AI-generated images can also pop up in music created with the technology.
For example, a fan-made World Cup song for Portugal was sung with a Brazilian accent, while a Colombian version read James Rodriguez’s first name with an English rather than Spanish pronunciation.
Music created with AI can also lack complexity, Palamara said.
“It’s one compact product, rather than a product where there’s multiple tracks that have gone into it, where it has more texture.”
Still, Morgan Hayduk, co-CEO of music rights software company Beatdapp, said that listeners enjoying the World Cup fan songs may not be seeking artistic complexity.
“There seems to be a cohort of people who actually don’t care,” Hayduk observed. “They like the music, and they like the back story that it came from a large language model and not a songwriter or a group.”
He said that despite concerns over how the industry will adapt to AI, quick-fix songs that can be chanted by fans or featured in advertisements are a clear use-case for AI-generated music in its current stage.
“Knowing what goes into a generative output, like a World Cup fan song, is the thorny Rubicon that the music industry has to cross now.”
AFP
Discover more from NAIRAVOICE.COM.NG
Subscribe to get the latest posts sent to your email.
