BT Condemns “Abhorrent” Misuse of AI in Music Technology

BT, one of electronic music's most respected voices on music technology, is openly criticizing the flagrant disregard for intellectual property rights by some AI companies.

Expressing his dismay at the unethical practices, he highlighted how some firms are leveraging text-to-music models by scraping content from platforms like Spotify and YouTube without obtaining consent from the original creators.

"There are very few companies respecting intellectual property rights in this space," the influential producer told MusicTech. "I find this an abhorrent misuse of this technology."

BT's insights carry significant weight due to his extensive contributions to music technology. The producer and technologist, who recently released his 15th studio album, has notably developed numerous plugins and tools that have become staples in the industry.

BT.

Lacy Transeau

Despite these concerns, BT remains optimistic about AI's potential to benefit artists. He envisions a future where artists can unlock new revenue streams through consensual AI training on their work, per MusicTech.

BT's balanced perspective underscores the need for thoughtful regulation and community involvement in navigating the future of AI's impact on music technology. His vision for AI in the space is one of collaboration and respect, ensuring that technological advancements benefit all artists fairly and ethically.

"I'm thrilled about tools that will fairly reward artists they are trained on that unlock brand-new possibilities for young and seasoned artists alike… There are unimaginable future technologies that all artists, singers, producers and engineers will love to use because they do groundbreaking things they currently don’t have access to," he explained.

"The future is bright and we must as a community [musicians] proactively control and be involved in the narrative of what is acceptable, what is ethical and all couched in a reverence and respect for the large bodies of work created that are needed to train on for effective new tools. There is a lot to look forward to."

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