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Swedish Group Wants Music Artists Paid for AI Training
STIM's licensing agreement with Songfox introduces a hybrid payment model ensuring real-time royalty tracking for over 100,000 music creators amid rising AI-generated music use.
- On 9 September 2025, STIM, a Swedish musicians' organisation, became the first to establish a collective licence for AI-generated music, ensuring artists receive compensation when their work is used to train artificial intelligence.
- This initiative addresses the rapid growth of AI-generated content in creative fields and seeks to fill legislative and compensation gaps for creators whose work has been exploited by AI technologies.
- The pilot project includes startups Songfox and Sureel, employing attribution technology to trace AI outputs back to human-created works and enable real-time royalty audits.
- Simon Gozzi of STIM described the agreement as a 'stress test' aimed at bridging major trust gaps in AI music and expressed confidence that it marks the beginning of a larger initiative for collective AI licensing.
- The licence sets a precedent for fair artist compensation amid forecasts that AI could reduce music creators’ revenues by almost 25% within three years.
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15 Articles
15 Articles
The Swedish Music Rights Organization has introduced a license that allows artificial intelligence companies to legally use copyrighted songs to train their models.
·Belgrade, Serbia
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Swedish Music Rights Group Seeks To Pay Artists For AI Training
A Swedish organisation representing musicians said Tuesday it signed the "world's first collective AI licence for music", aiming to compensate artists for use of their work in training artificial intelligence.
·New York, United States
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The Star Kuala LumpurReposted by 
WTVB
WTVBSweden launches AI music licence to protect songwriters
(Reuters) -Sweden's music rights organisation has introduced a licence that allows artificial intelligence companies to legally use copyrighted songs for training their models, while ensuring that songwriters and composers are paid.
·Malaysia
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Total News Sources15
Leaning Left1Leaning Right4Center5Last UpdatedBias Distribution50% Center
Bias Distribution
- 50% of the sources are Center
50% Center
C 50%
R 40%
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