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BackAustralian Musicians Outraged Over AI Training Data Ingestion
Australian Musicians Outraged Over AI Training Data Ingestion
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Guardian World26.06.2026Tech3 dk okuma

Australian Musicians Outraged Over AI Training Data Ingestion

L'essentiel

  • Australian musicians like Paul Dempsey and Bernard Fanning are furious their original songs are included in datasets used to train AI.
  • Millions of creative works scraped from the internet, including Australian artists' music and novels, are being used without permission or compensation, sparking concerns over copyright theft and the dehumanization of art.

Résumé généré par IA

Pourquoi c'est important

Millions of creative works, including Australian music and novels, have been found in datasets used to train artificial intelligence without artists' permission or compensation. This practice, known as 'slurping', is raising concerns about copyright theft and the dehumanization of art.

Taille de police

Paul Dempsey and Bernard Fanning are among big-name Australian musicians upset that their original songs have been found in datasets used to train artificial intelligence.

A dataset search tool recently created by US publication The Atlantic reveals millions of creative works have been scraped from the internet to train the disruptive technology.

It includes a vast catalogue of work by Australian artists, with tunes by Kylie Minogue, Powderfinger, Nick Cave and Jimmy Barnes, and novels by Thomas Keneally and Peter Carey.

Dempsey had long suspected his music was being used by AI without his permission, and said he found the entire catalogue of his longtime band Something For Kate, as well as his solo tunes, using the search tool.

“It’s frustrating this is happening. Every negotiated agreement and contract I’ve ever gone into in my career with whatever entity or record label is all just rendered useless,” he told AAP.

“An artist’s ability to negotiate fair terms for the use of their content is just being ripped away from them.”

There is increasing concern about the widespread ingestion of copyright or private content to train artificial intelligence, a practice dubbed ‘slurping’.

Using original songs to produce robotic AI content is ultimately dehumanising, Bernard Fanning argued.

“Do we want robots telling our stories and synthesising our feelings? Because it’s not human. The whole point of art is to humanise our feelings, to express how we’re feeling across the whole range of emotions,” he told AAP.

“Robots aren’t alive; they don’t experience, they just aggregate – and the idea of that sucks.”

Songwriter Darren Hayes found in the datasets the entire output of his 30-year recording career, including Savage Garden hits such as Truly Madly Deeply, and recently took to Instagram to express his fury.

“I absolutely feel violated that all of the hundreds and hundreds and hundreds of hours, blood, sweat and tears that I’ve put into my music, along with every other musician, has been stolen and served up like french fries to a piece of software that spits out shit,” he said.

The Australian songs are contained in two datasets, the first of which was assembled by a group of researchers known as Sleeping AI.

Sleeping-DISCO-9M comprises 9.7m music tracks from YouTube, plus lyrics from Genius.com, while a second dataset, LAION-DISCO-12M, was created by Germany-based group LAION, using 12.3m YouTube tracks.

The Atlantic cautioned that AI companies might omit works when training their models, so the inclusion of songs in datasets was not definitive proof they had been used.

The datasets were proof of the theft of creative work, according to music licensing organisation APRA AMCOS, which represents 128,000 members in Australasia.

“Major tech platforms have not come to the table. Not once. Instead, they have lobbied governments, circulated policy papers, and proposed solutions designed to extinguish any obligation to pay,” its chief executive, Dean Ormston said.

Australia’s intellectual property laws hold that permission should be granted and terms, such as payment, agreed on before copyright works are used, but the IT industry has pushed for text and data mining exemptions to the laws.

In August 2025, the Productivity Commission floated changes that would have legalised AI companies using content without paying creators, but the federal government ruled out the changes in October.

Dempsey, who is midway through his Shotgun Karaoke regional tour of Australia, said genuine artistic expression came from human experience, not artificial intelligence.

“We can trigger huge emotional responses in each other through art, and I don’t know that that’s going anywhere; it’s just going to be flooded with all this other shit,” he said.

À surveiller

Perspective IA — des possibilités, pas des certitudes

  • Increased legal challenges and regulatory actions against AI companies over data usage.

    Probable · En quelques mois

  • Development of new licensing models for AI training data.

    Possible · Long terme

Questions ouvertes

  • Will legal action be taken against AI companies?
  • What compensation models will be developed for artists?
  • How will 'text and data mining' exemptions be regulated?

Sujets liés

This article was originally published by Guardian World.

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