SOCAN Sues Suno AI: Copyright Infringement Alleged in Canada

• SOCAN has filed a lawsuit against AI music generator Suno in Canadian Federal Court, alleging copyright infringement.
• The lawsuit claims Suno used copyrighted music, including works by Joni Mitchell and Tom Cochrane, to train its AI model without permission.
• SOCAN seeks a permanent injunction, damages, and a share of Suno's profits from its alleged infringing activities.
• The organization asserts that Suno's AI model was trained on a vast array of internet-accessible music, encompassing nearly all Canadian copyright-protected works.
• This legal action follows similar claims against Suno by music rights organizations in the US and Europe, highlighting growing scrutiny of generative AI.

The lawsuit alleges that Suno's artificial intelligence model was trained through the "mass ingestion, copying, and processing" of virtually all reasonably high-quality musical files available online, without obtaining necessary permissions from rights holders.

The Society of Composers, Authors and Music Publishers of Canada (SOCAN) has initiated legal proceedings against Suno, an artificial intelligence music generator, in the Canadian Federal Court. Filed this week, the lawsuit contends that Suno engaged in copyright infringement by utilizing SOCAN members' musical works to train its AI model. This model, in turn, enables users to create compositions that are either similar or identical to existing copyrighted material.

SOCAN's statement of claim provides several specific instances of alleged infringement. These include AI-generated songs deemed "virtually identical" to Joni Mitchell’s iconic track “Both Sides Now,” as well as Rascal Flatts’ rendition of Canadian singer-songwriter Tom Cochrane’s “Life is a Highway.” Additionally, the filing cites a K-pop remix of Avril Lavigne’s “Sk8er Boi” as another example of unauthorized use. The organization, which represents over 185,000 musicians and publishers, asserts that Suno was aware it lacked the necessary licenses for commercial use of its members' music.

In its legal action, SOCAN is seeking a permanent injunction to halt Suno's alleged copyright-infringing activities. Furthermore, the Canadian nonprofit is pursuing damages and a share of the profits Suno has purportedly generated from these unauthorized uses. This Canadian lawsuit coincides with a proposed class action filed in a US federal court by American singer-songwriter Jason Isbell and three other musicians, who similarly accuse Suno of allowing users to replicate artists’ musical likenesses without permission.

At the heart of SOCAN's complaint is the accusation that Suno's AI model was developed through the "mass ingestion, copying, and processing" of "virtually all musical files of reasonable quality that are accessible on the internet." The organization alleges that this extensive data collection occurred without obtaining permission from the respective rights holders. SOCAN further emphasizes the breadth of its members' catalog, stating that their works collectively "comprise virtually all copyright-protected musical works in current use in Canada."

The lawsuit specifically details how Suno allegedly infringed upon performing rights, which constitute a component of musical work copyright. SOCAN claims this infringement occurred in multiple ways: by making its members' music available for Suno users to generate new works, by allowing these AI-generated compositions to be streamed publicly and uploaded to third-party platforms like Spotify, Apple Music, and YouTube, and by enabling users to create remixes of existing songs. SOCAN contends that Suno either encourages or shows indifference to its users' infringing behavior, purportedly relying on its terms of use rather than proactively ensuring lawful operations.

Despite Suno's recent implementation of "guardrails" designed to prevent copyright infringement, SOCAN deems these measures "woefully inadequate." The legal filing asserts that "From the outset, Suno has intentionally built its business on the backs of music creators, music publishers, and other rightsholders." Launched in 2023, Suno has rapidly grown, boasting a current valuation of US$5.4 billion, with its cofounder Mikey Shulman reporting 2 million paid subscribers and US$300 million in annual revenue earlier this year.

This legal challenge by SOCAN highlights a growing global concern regarding the use of copyrighted material in training generative artificial intelligence models. Andrea Kokonis, SOCAN's chief legal officer and general counsel, commented on the Canadian lawsuit, clarifying that "songwriters and composers aren't afraid of AI" and often embrace new technologies as creative tools. However, she stressed the fundamental principle that "they need to be paid when their songs are used."

Kokonis indicated that SOCAN's lawsuit serves to "send a clear signal to AI services or AI platforms that there are consequences when they use music without permission." This action by the Canadian organization is not isolated; similar claims have been previously lodged against Suno by music publishers in the United States and various European music rights organizations. The cumulative effect of these legal challenges underscores increasing scrutiny on the foundational data and operational practices of AI music generators.

The outcome of this case in the Canadian Federal Court could establish significant precedents for intellectual property rights in the era of generative AI, particularly concerning AI music copyright infringement. It reinforces the imperative for developers and users of AI technologies to meticulously audit their data sources and licensing agreements to mitigate potential liabilities, both within Canada and internationally.

This lawsuit signals increasing legal scrutiny on generative AI models' training data and output, compelling lawyers to advise clients developing or utilizing AI to rigorously audit their data sources and licensing agreements to mitigate significant copyright infringement liabilities in Canada and potentially beyond. Compliance officers should monitor this case for evolving standards on AI-generated content and potential liabilities related to unauthorized use of copyrighted material.

Source: Reporting on recent legal developments.