Australian musicians hate AI using their songs, but have little legal protection

2026-07-01 · Source: News on Artificial Intelligence and Machine Learning · Field: Legal & Regulatory — Intellectual Property & Patents, Regulatory Affairs & Government Relations, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

A database comprising 12 million songs, specifically used for training artificial intelligence models, has been found to include copyrighted music from numerous prominent Australian artists. This extensive list features works by Kylie Minogue, John Farnham, INXS, AC/DC, Tones and I, Gotye, and Nick Cave, among others. The discovery has ignited significant concern and strong disapproval among Australian musicians, who object to the unauthorized incorporation of their creative output into AI training datasets. Despite their widespread discontent, the existing legal protections for these artists in Australia are notably limited, offering little recourse against the use of their material by AI systems. This situation underscores a critical gap in intellectual property law concerning AI and creative works.

Key takeaway

For legal professionals advising creative industries, this situation highlights an urgent need to review intellectual property frameworks. Your clients, particularly musicians, face significant challenges protecting their works from unauthorized AI training. Consider advocating for updated copyright laws that specifically address AI's use of creative content. This proactive approach can mitigate future disputes and safeguard artists' rights in the evolving digital landscape.

Key insights

Australian musicians lack legal protection against AI training on their 12 million songs.

Principles

• AI training datasets often include copyrighted works.
• Current IP law struggles with AI use of creative content.
• Artists express strong disapproval of unauthorized use.

Topics

• AI Training Data
• Copyright Law
• Music Industry
• Intellectual Property
• Australian Artists
• Content Licensing

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Legal Professional, Policy Maker, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by News on Artificial Intelligence and Machine Learning.