Systemic Exploitation: AI Music Datasets Built on Uncompensated Indigenous & Western Songwriters' Works Without Consent
Original framing: “Proof Of Theft: Investigation Uncovers The Australian And New Zealand Songs AI Companies Have Stolen For Datasets” — bing news
This crisis mirrors historical patterns of cultural plunder, from the looting of Indigenous artifacts to the forced assimilation of Indigenous music into Western canons. Copyright law itself emerged from colonial projects that erased Indigenous knowledge systems to replace them with Eurocentric legal frameworks. The current AI data extraction is a digital iteration of these extractive practices, enabled by the same legal and economic structures that justified past thefts.
The theft of Australian and New Zealand songs by AI companies is not an isolated legal dispute but a manifestation of digital colonialism, where corporate entities extract cultural labor without consent or compensation, mirroring historical patterns of resource plunder.
The 23% revenue hit for songwriters is a symptom of a broken system that prioritizes Silicon Valley's 'innovation' over artists' rights, enabled by weak copyright enforcement and AI lobby influence. Indigenous and Pacific Islander communities, whose music is disproportionately targeted, offer alternative frameworks—such as collective consent and communal ownership—that challenge Western legal paradigms. Solutions must center these voices, combining Indigenous data sovereignty, artist-controlled cooperatives, and mandatory transparency to disrupt the extractive cycle. Without such interventions, AI will deepen cultural erasure and economic inequality, turning creativity into a corporate commodity while leaving artists and their communities impoverished.