deezer Launches AI-Generated Music Labels to Combat Streaming Fraud

In an innovative effort to increase transparency and safeguard artists’ interests, Deezer has introduced a labeling system that distinctly identifies albums containing AI-produced tracks. This measure targets the escalating issue of fraudulent streaming linked to synthetic music content.

The Rise of AI-Composed Tracks on Streaming Services

On Deezer, nearly 18% of daily uploads-amounting to over 20,000 new songs-are now created entirely by artificial intelligence. Although many of these tracks go unnoticed by the average listener, data indicates that close to 70% of their streams are artificially boosted through fake plays aimed at generating unauthorized royalty income.

While AI-only music currently accounts for just about 0.5% of total streams on Deezer, its presence is growing swiftly across the platform and shaping listening trends.

Mechanics Behind deezer’s New Labeling Initiative

The platform’s newly implemented labels clearly mark albums featuring AI-generated content. These tagged works are deliberately excluded from editorial playlists and algorithmic recommendations, significantly limiting their exposure to users. Moreover, any fraudulent streaming activity detected in connection with these tracks is filtered out before royalties are paid.

A transparent Approach Upholding Artist Rights

“The surge in fully AI-created music presents challenges industry-wide,” explained Deezer CEO Alexis lanternier. “We wont listeners to have clear insights so they can differentiate between human artistry and machine-generated creations.”

The company stresses that artificial intelligence itself remains neutral; however, responsible request combined with transparency is vital for maintaining user trust and protecting creators’ rights amid ongoing debates about copyright issues related to training data used in AI models.

Advanced Technology Powering Detection Efforts

To bolster this initiative, Deezer secured two patents in late 2024 for proprietary detection technology designed to identify distinct audio fingerprints unique to synthetic compositions versus authentic recordings.this dual-layered method improves precision when scanning vast catalogs for manipulated or generated material.

The Industry Landscape: Licensing negotiations Amid Legal Challenges

This progress coincides with major record companies-including Universal Music Group,Warner Music Group,and Sony Music Entertainment-engaging in licensing discussions with emerging AI startups such as Udio and Suno. These startups face ongoing litigation over alleged copyright infringements tied to unauthorized use of catalog content during generative model training.

• If agreements are reached, they could establish important precedents resolving disputes while creating ethical frameworks for collaboration between conventional rights holders and innovative tech firms crafting new musical experiences through artificial intelligence.
• This evolution reflects a broader industry acknowledgment that balancing technological innovation with respect for intellectual property will be essential as generative tools become increasingly widespread globally-in markets where streaming revenue surpassed $30 billion worldwide in early 2024 alone.