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Canada’s SOCAN names Musical AI as its attribution partner to credit and pay creators whose work shapes AI music
Canada's performing rights society SOCAN has partnered with Musical AI, a Canadian rights technology firm, to build systems that identify when songwriters' and composers' work has been used by artificial intelligence, ensuring those creators are credited and paid. SOCAN will recognise Musical AI as an approved technology partner for attribution services, marking one of the first times a performing rights organisation has formally endorsed an AI attribution company in this way. The move matters because it establishes a practical framework for consent, credit and payment as generative AI music tools become more widespread.
SOCAN, which represents more than 200,000 songwriter, composer and publisher members, says the partnership is built on two principles: that AI should only use creators' work with their consent, and that creators must be credited and paid whenever their work shapes an AI-generated output. Musical AI's technology analyses AI-generated tracks to estimate how much derives from specific recordings and compositions, producing a report akin to a "split sheet" used to divide songwriting credit. The announcement comes amid ongoing legal disputes over AI and copyright, including the RIAA's 2024 lawsuit against Suno and Udio on behalf of Sony, Universal and Warner; Warner and Universal have since settled and struck licensing deals with the AI firms, while Sony's case against both, and Universal's against Suno, remain unresolved.
In short
- SOCAN names Musical AI as approved partner for AI music attribution
- Aims to credit and pay creators when AI uses their work
- Comes amid unresolved major-label lawsuits against Suno and Udio
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The strongest fair case each way — we don't pick a winner.
The case for
This partnership provides concrete protection for creators in an AI-driven music landscape. By requiring consent before use, employing technical attribution to track how much AI outputs derive from specific works, and mandating payment when creators' compositions shape AI-generated music, SOCAN creates unprecedented transparency and compensation mechanisms. The approach balances rapid AI development with creators' legitimate economic interests, offering a pragmatic framework other rights organisations can adopt.
The case against
The framework may legitimise widespread training on copyrighted works without genuine upfront consent, relying instead on opaque post-hoc payment mechanisms. Creators lose the fundamental right to refuse AI use of their work entirely; they can only hope attribution technology accurately captures their contribution and that subsequent payment proves adequate. This arrangement privileges AI companies' interests in training data over creators' autonomy, potentially normalising an extractive model that compensates creators only after substantial value has already been extracted.
Explained simply
SOCAN is Canada's performing rights organisation that represents over 200,000 songwriters, composers and music publishers. As artificial intelligence tools for creating music become increasingly common, a key question has emerged: when AI generates a song using elements based on existing work, how do the original creators get credited and paid? SOCAN's new partnership addresses this challenge.
Musical AI is a Canadian technology company that has developed software to analyse AI-generated tracks and identify which existing recordings and compositions have influenced them. SOCAN has named Musical AI as an approved partner, meaning the performing rights organisation will use its technology to establish how much of an AI song derives from specific creators' work. This creates a mechanism similar to existing industry practices for dividing songwriting credit.
The move comes as the music industry grapples with how to handle AI and copyright. Major record labels have pursued legal action against AI music firms, with some cases settled and licensing deals reached, whilst others remain unresolved. SOCAN's partnership with Musical AI represents an attempt to establish a practical framework where creators' work can be used only with consent, and where creators receive credit and payment when their work shapes AI-generated output.
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