SoundCloud updates terms to use user audio for AI training

SoundCloud updated its Terms of Use to allow the use of user-uploaded audio for training artificial intelligence (AI) models. The change took effect on February 7, 2025.

It permits the platform to “inform, train, develop or serve as input to artificial intelligence or machine intelligence technologies or services.” This update reflects SoundCloud’s new approach to AI integration.

Details of the Policy Change

The new terms explicitly allow SoundCloud to use uploaded content for AI training. This includes music and other audio files shared by users.

Tech ethicist Ed Newton-Rex identified the update and pointed out there is no clear opt-out option available for users. The policy change appeared quietly and affects all uploaded content unless covered by separate agreements.

SoundCloud has licensing agreements with various labels, including indie labels, Universal Music, and Warner Music Group.

Despite these agreements, concerns remain about AI training involving copyrighted material without explicit user consent.

Significance and Industry Context

This change aligns with a broader industry trend of digital platforms using AI to improve services. SoundCloud plans to enhance music recommendations and content moderation.

The music industry remains cautious about unauthorized AI use of copyrighted songs. Major labels continue stressing protections for artists’ work.

Other platforms like Elon Musk’s X, LinkedIn, and YouTube have also updated policies to permit using user data for AI training.

These moves have sparked debates over user consent and fair compensation for contributions to AI data sets.

How SoundCloud is Embracing AI

SoundCloud partnered with nearly a dozen vendors to introduce AI tools for remixing and generating vocals. This showcases a growing AI integration strategy.

The company promises to uphold ethical and transparent AI practices. It aims to ensure rights holders receive proper credit and compensation.

However, the lack of an explicit opt-out raises questions about transparency and user control over uploaded content.