AI-centric music production, distribution and education platform LANDR has devised a new way for musicians to capitalize on the coming age of artificial intelligence with consent and compensation in mind. With the new Fair Trade AI program, any musician who wants to participate can be part of this growing pool of songs that will be used to train LANDR's various AI models, tools or systems. Dubbed “the music industry's first mature attribution model of choice,” the LANDR team believes this is a viable path for artists to gain a new recurring revenue stream and help it simultaneously develop next-generation music AI technology.
LANDR has been in the music AI space since launching an early AI mastering solution in 2013. Now the company has grown to provide a much larger suite of tools, offering everything from distribution services, tutorials, plug-ins, mastering And much more. Participating artists will receive 20% of the revenue generated by LANDR's tools — whether it's an AI plug-in, mobile app, or cloud service — that use this dataset in its training. Musicians can also add new music to the dataset over time, increasing the stake in that 20% of the revenue pie they'll receive from participating in the dataset.
Although LANDR plans to license its AI tools to third parties, the company does not plan to sell or license this dataset to other music AI companies. “It's the best of both worlds,” he says Daniel Rowland, head of strategy and partnerships at LANDR. “Our users benefit by not having their data directly in the hands of multiple companies — it stays with us.”
While any musician can submit their music, LANDR reserves the right to curate the tracks added to the dataset, and each track submitted must be made by a musician who owns the full publishing rights to it. Musicians using LANDR's distribution services can join the Fair Trade AI program very quickly by simply selecting a box as they go through the steps of releasing their music. Users can also opt out of the program at any time, however, their projects will remain part of the dataset until the next training cycle, which occurs every 2-3 months.
Pascal Pilon, founder of LANDR, says of the new program: “Our mission at LANDR is to empower musicians to create, be heard and earn money for their work. As we've watched the emergence of new AI tools over the past year and the legal challenges facing the industry, we now see an opportunity to use our reach to bring the market to a place that's sound and exciting for DIY musicians in around the world, while developing assistive tools to enhance — not replace — their creativity and workflow.”
from our partners at https://www.billboard.com/pro/landr-fair-trade-ai-training-program-musicians-earn-money/
