LANDR Launches "Fair Trade AI" Program

LANDR has announced its "Fair Trade AI" program, an initiative allowing artists to earn recurring revenue by contributing their music to the training of AI music tools, establishing an opt-in attribution model for the music industry.

Under the program, artists who opt in to contribute their songs for AI training will receive 20% of the proceeds generated by the AI tools developed using their music. This approach ensures that artists not only benefit from AI advancements but also actively participate in shaping the technology while retaining full ownership of their work.

Pascal Pilon, Founder of LANDR, has emphasized the company's mission to empower musicians and highlighted the opportunity to create a sound and exciting market for DIY musicians worldwide, with the Fair Trade AI program aiming to develop assistive tools that enhance creativity and workflow, rather than replace them.

LANDR's Fair Trade AI program claims to respect copyright laws and content ownership, providing a transparent and ethical framework for musicians to engage with AI technology.

How the Fair Trade AI Program Works:

• Opt-in Process: Users distributing music through LANDR can choose to include their content in AI training. Only distributed tracks where users retain publishing rights are eligible, and LANDR reserves the right to curate the dataset.
• Revenue Share: 20% of the proceeds from new AI-based tools are distributed to participating users based on their data contribution.
• Regular Payouts: Artists receive monthly payouts through their LANDR accounts, similar to streaming revenue payments.
• Ethical Approach: The dataset will not be sold to third parties, ensuring ethical data use and fair compensation for contributors.
• Transparency and Updates: LANDR is committed to transparency and will provide regular updates on the AI training process.
• Educational Resources: LANDR will offer comprehensive resources to help users understand and navigate the evolving landscape of AI in music.

For more information about the program, head to www.landr.com/fairai