Suno, an AI music startup, announced on Thursday a series of new measures to prevent the misuse of its platform. The company is introducing audio watermarking and fingerprinting technology alongside a new download policy to curb the mass distribution of AI-generated tracks.
Watermarking and fingerprinting to stop bot-driven royalty fraud
Suno is deploying technical safeguards to combat a specific type of exploitation currently targeting the music industry. According to the report,a common scheme involves users generating hundreds or even thousands of AI-generated songs and uploading them to various streaming services. once live, these tracks are played repeatedly by bots to harvest fraudulent royalties.
To disrupt this cycle, Suno is implementing audio watermarking and fingerprinting. These tools are designed to be durable and resistant to tampering, allowing music platforms to identify and trace songs created via the Suno platform. Additionally, a new download policy will be introduced to limit the ability of users to mass-distribute content across the web.
Navigating the fallout from Warner Music Group and GEMA
These anti-fraud measures arrive as Suno continues to navigate intense scrutiny regarding its training data. The company has been a central figure in industry controversy, specifically regarding accusations from Warner Music Group that Suno used copyrighted recordings without permission to train its models. While Suno and Warner Music Group reached a settlement last year, the company also had to reach an agreement with the German music-licensing agency GEMA.
The broader tension stems from how Suno built its models. As the report states, the company's processes involved scraping data from several major online sources , including YouTube, Deezer, and Genius. This practice has fueled ongoing criticism from industry professionals who argue that AI-generated music lacks the emotional nuance of human-created works and relies on unauthorized intellectual property.
Shulman's push to distinguish fraud from "AI slop"
Suno is attempting to distance itself from the perception that AI music is merely low-quality "slop." To this end, the company has updated its community guidelines to explicitly prohibit scams, spam, and fake engagement. the new rules also ban the use of copyrighted material or a real person's voice or likeness without proper permission.
A representative named Shulman noted that these new technical tools are not intended to pass judgment on whether a song is "good" or "meaningful." Instead, the focus is on technical traceability. Shulman emphasized that the goal is to provide a way to identify AI-generated content without affecting the actual listening experience for the consumer.
Will watermarking resolve the YouTube and Deezer scraping debate?
While Suno's new tools address the distribution of AI music , they leave several critical questions unanswered regarding the creation of it. It remains unclear if these watermarking measures will satisfy the legal concerns of major labels who are primarily focused on the input side of the equation. Specifically,will the industry accept these safeguards as a sufficient remedy for the alleged scraping of platforms like YouTube and Deezer, or will the fight over training data continue in the courts?
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