Why We’re Taking a Human‑First Stand on AI‑Generated Music — Qobuz Community

AI Charter — Qobuz Community

Artificial intelligence is transforming the music industry at an unprecedented pace. Faced with the explosion of AI-generated content and the legitimate questions it raises, Qobuz has chosen transparency.

AI music tools challenge Bay Area musicians

AI music tools challenge Bay Area musicians: As affordable AI platforms spread, artists debate creativity, copyright and survival.

The Millions of Songs Mashed Into AI-Generated Music

Explore the astonishing amount of music available to AI developers.

Inside the Don’t Ask, Don’t Tell Era of AI in Music

From juicing demos to cloning vocals, AI music tools are creeping into the workflows of top producers, songwriters and artists. It’s mostly happening behind closed doors — for now

The Music Industry Crosses an AI Tipping Point

AI music remains a touchy subject for many musicians. Suno CEO Mikey Shulman says he's not worried: “People are starting to be a little more comfortable being public and upfront” about creating with AI.

SlopTracker — Exposing AI-Generated Artists on Spotify

AI-generated artists are flooding Spotify, racking up millions of streams, and siphoning revenue from real musicians. See the receipts.

The grueling fight over who profits from AI music

AI can generate songs in seconds. But behind every AI track is a complicated question: Who should get paid? And, how? The fights have started.

Who owns an AI generated song? What we can learn from the phonograph and the evolution of copyright laws

History suggests copyright adapts to technology. AI may be no exception.

‘It has your name on it, but I don’t think it’s you’: how AI is impersonating musicians on Spotify

Fraudulent music streams have long been a scourge for the industry, but experts say generative AI has supercharged it

Millions of Copyrighted Songs Were Fed to AI Music Generators – Now There's Proof

Millions of copyrighted songs trained AI music generators, and new searchable databases from The Atlantic now confirm which tracks were used.

HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark

As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple track generation, these advancements have catalyzed the adoption of AI-driven methodologies in diverse forms. These include vocal synthesis, arrangement, and professional mastering. However, current detection research remains largely confined to a binary `AI-or-human' paradigm. It fails to reflect the realities of contemporary music production workflows. In real-world production, AI tools are increasingly used to refine or master human-produced tracks, and human engineers likewise post-process AI-generated material to ensure professional quality. Moreover, users often employ adversarial tactics to bypass AI detectors, such as applying human mastering to AI-generated tracks. This creates a grey area that a simple binary classification fails to capture. In this paper, we define and investigate ``AI Music Tracking'': the challenge of identifying specific AI integration across the multifaceted spectrum of music production. To this end, we introduce HAIM, a dataset with diverse labels for stages of music production. It is designed to isolate stages of AI intervention, including hybrid production and agent-level tracking. Our evaluation of state-of-the-art detectors reveals systemic flaws. By releasing HAIM, we propose a new benchmark that shifts the field beyond binary classification toward a granular, structured evaluation of AI music.

Introducing Verified by Spotify, a Signal of Authenticity and Trust for the Artists Behind the Music — Spotify

Music is evolving, and so are the ways you discover and connect with artists. In the AI era, it’s more important than ever to be able to trust the authenticity of the music you listen to. At Spotify, our focus is providing you with more context about artists and their music, so you can build...

[Interview] Snow J of Cheerful Music dives into the cross cultural intersection of AI and music – EARMILK

In conversation with Earmilk, Snow. J explores how AI has restructured the foundation of music culture, striking a balance between AI and human-made music as well as Cheerful Music's distinct approach to engaging AI technology in music making and marketing.

AI music is flooding streaming platforms. But listeners like it less and less

Music fans are becoming increasingly uncomfortable with AI songs, according to a recent study.

AI Is Already Training on Music. The Real Question Is: Who Gets Paid?

AI is already learning from music. Quietly, constantly, and at a scale most people don’t fully see yet. While the industry debates hypotheticals, the real shift has already happened. The […]