We are the music makers

Topic

Artist-rights

  • China's AI labelling rules meet the music apps, and NetEase says its labels are still a test

    China has required AI-generated audio to carry a label and embedded metadata since 1 Sep 2025, and platforms must detect AI content and let uploaders declare it. In April 2026 NetEase Cloud Music told a Chinese newspaper its AI labels were still in a small-scale test and relied mostly on creators declaring AI themselves. We think that leaves honest creators carrying the cost.

    AIvia Cyberspace Administration of China

  • Japan's JASRAC won't collect for fully AI-made songs, and wants the training exception in Article 30-4 changed

    Japan's biggest music rights society will only manage the human-made parts of a song, and songwriters must say which parts AI made when they register. It is also asking for Article 30-4, which lets AI firms train on works without permission, to give creators a choice. That puts Japan's songwriters further from a say over training than their counterparts in the EU or the UK.

    Artist rightsvia Japan Copyright Office (Agency for Cultural Affairs)

  • Xania Monet, a year on: her manager has an AI label deal, and a lawsuit now targets the name

    A trademark suit filed in Connecticut on 10 June names Hallwood Media, Xania Monet creator Telisha Jones and a company called TJM Inc. It comes months after Monet's manager launched an AI-and-human label venture with Create Music Group. Both raise the same question about an AI act. If copyright barely reaches the voice, the name is the main thing anyone can own.

    AIvia PacerMonitor (US District Court, District of Connecticut docket)

  • Sweden's STIM makes AI licensing opt-in, one work at a time

    STIM's members have voted to create a separate AI rights category, in force from 1 Jun 2026. No work goes into an AI licence unless its creator switches it on, work by work; everything else stays monitored but excluded. It is the most consent-heavy model we have seen a collecting society adopt, and its weak spot is scale, not principle.

    AIvia STIM

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