Australian musicians hate AI using their songs, but have little legal protection
Australian musicians hate AI using their songs, but have little legal protection
Publish Date: 2026-06-30 23:23:00
Source Domain: theconversation.com
Here is a summary of the article presented as an unordered list:
– Australian music from artists like Kylie Minogue, John Farnham, AC/DC, and many more, totaling over 12 million songs, has been found in databases used for training artificial intelligence systems.
– The extensive use of Australian music by AI systems has angered the Australian music industry, especially with AI platforms allegedly creating as much music as Spotify’s catalog every two weeks.
– Concerns have been raised by artists including Dobe Newton, Caitlin Yeo, and Jesse Pattinson about the ethical and moral implications of AI music practices, and the potential impact on real artists’ opportunities.
– The complex intersection between copyright law and AI makes it difficult for impacted musicians to prove infringement, especially due to the unique nature of music law.
– While databases contain links and information about where to download copyrighted materials, merely listing these locations isn’t seen as infringement unless the data is actually used to train AI models, which is legally complicated to prove.
– Despite these challenges, some legal actions have been successful, demonstrating that infringement can be pursued, as seen with cases from Germany, Universal, and Sony.
– There is increasing pushback from the international music industry, with class action lawsuits, lobbying efforts, and a growing tension between fostering AI innovation and protecting creative industries.
– The European Union’s new AI act aims to make AI companies transparent about their training data sources and ensures compliance with local copyright laws, potentially offering a path to protect artists.
– There is a call for Australia to draw inspiration from the EU’s legislation to better protect artists and ensure they are fairly compensated for their contributions to AI-driven music creation.
