Kylie Minogue songs already used to train AI as tech firms ‘strong-arm’ Australian government, music body warns

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Cite

Josh Taylor Technology reporter. (2026, October 19). Kylie Minogue songs already used to train AI as tech firms ‘strong-arm’ Australian government, music body warns. The Guardian. https://www.theguardian.com/music/2026/oct/19/australia-music-global-copywright-outlier-ai-music-body-warnsns

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The Guardian · collected 2026-10-19 · by Josh Taylor Technology reporter

Quick Summary

The International Confederation of Music Publishers (ICMP) has warned that Australian artists like Kylie Minogue and Nick Cave have had their works used to train AI systems without compensation. The ICMP claims tech companies are pressuring the Australian government to weaken copyright laws, arguing this would amount to “larceny.” Government officials from both major parties have expressed concern over a potential stalemate, suggesting changes to current copyright settings while ensuring creators maintain control and receive payment for their work's use in AI training.
Written locally by qwen2.5:14b on 2026-10-19, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

The International Confederation of Music Publishers (ICMP) has warned that Australian artists' works, including those by Kylie Minogue and Nick Cave, have been used to train AI without compensation. The ICMP, which represents major labels like Sony, Warner, and Universal as well as thousands of independent publishers worldwide, claims that Australia is the only country among dozens approached by tech firms considering weakening copyright laws. John Phelan, managing director of ICMP, described tech companies’ lobbying tactics as an attempt to “legitimise larceny” and strong-arm policymakers into making concessions or face reduced investments. In July, Anthony Albanese, the Australian prime minister, stated that it would be considered theft if artists did not retain control over how their work is used for AI development and compensation received.

Written for “Kylie Minogue AI Training Controversy” on 2026-10-19, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.
Reading Leans left (beta estimate) Confidence high
Leaning: leans left for article 89772 (high confidence, 1 verified quote) · logged 2026-10-19

Story

📰 Kylie Minogue AI Training Controversy
Entertainment · 1 article(s) covering the same event.

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Claims extracted
31
sentences that state something as happening or true
Uncertain
13%
4 of 31 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
67/100
The Guardian's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Entertainment
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-19 · how these are computed

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Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

The Guardian · 2044 article(s) · 5 correction(s) detected
Running correction rate · 5 correction(s)

Who wrote this

Josh Taylor Technology reporter
8 article(s) here · 1 carrying a prediction
🔮 In July, Anthony Albanese said it would be “theft” if artists did not retain control over whether their work was used to build and train AI, and what they were paid for its use.
🔮 Australian adults will be able to access Pornhub once again after the site brought in age-checking on Apple devices in response to legal requirements that initially saw the site block users.
🔮 OpenAI will use an appearance before a parliamentary committee to apologise again to Australia about the hack on Medicare last month, on the same day media and entertainment organisations argue weakening Australian copyright law for AI model training would leave artists as “roadkill”.
🔮 OpenAI says its review in response to the Medicare and Hugging Face agent attacks is costing the company more than US$500,000 per day, as it deploys AI to examine data that would take a human 66m years to read.
🔮 In its defence against a high court challenge of the ban, the government has also argued its proposed digital duty of care legislation, allowing users to opt out of social media features such as algorithms, would ultimately have the same effect as the ban, if implemented.
🔮 OpenAI has apologised to Australians for its agent attack on Medicare, and will front parliament next week, as the tech company revealed more details about its June hack of Australian government websites.
🔮 “Having considered emerging federal and state policy, Goodman has concluded that it will not progress with the development application.”
🔮 “Because when it’s on your phone, you think it’s right here, or you think it might just come here.”
Also by Josh Taylor Technology reporter
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 8 articles by Josh Taylor Technology reporter →

Topics

Australia Australian Guardian Australia ICMP YouTube

Subjects

Australian NORP · 7× ICMP ORG · 4× Phelan PERSON · 4× Australia GPE · 3× Google ORG · 2× Guardian Australia ORG · 2× Kylie Minogue PERSON · 2× Nick Cave PERSON · 2× YouTube ORG · 2× The International Confederation of Music Publishers ORG · 1×

Narrative

The International Confederation of Music Publishers (ICMP) – which represents Sony, Warner and Universal as well as thousands of independent publishers on six continents – has warned that of the dozens of countries approached to water down copyright laws, Australia appears to be the only to consider doing so.
framing: assertive · carried by 1 article(s) · first seen 2026-10-19
🔮 In July, Anthony Albanese said it would be “theft” if artists did not retain control over whether their work was used to build and train AI, and what they were paid for its use.

Claims (31 extracted, 4 hedged)

AI has already been trained on the works of Australian artists including Kylie Minogue and Nick Cave without compensation, the peak global body for music rights has claimed, as the Australian government has been warned against giving in to “strong-arming” from tech companies seeking to weaken copyright law. asserted
government → train → law
The International Confederation of Music Publishers (ICMP) – which represents Sony, Warner and Universal as well as thousands of independent publishers on six continents – has warned that of the dozens of countries approached to water down copyright laws, Australia appears to be the only to consider doing so. asserted
Australia → represent → laws
John Phelan, the ICMP’s managing director, told Guardian Australia AI companies were asking policymakers to “legitimise larceny”. asserted
companies → tell → larceny
“They’re trying to strong-arm Australian policymakers into ‘if you don’t do this, we won’t invest’.” asserted
we → try → this
In July, Anthony Albanese said it would be “theft” if artists did not retain control over whether their work was used to build and train AI, and what they were paid for its use. asserted
they → say → use
Music, film, media and news organisations had expressed concerns the government was being lobbied by global tech companies behind closed doors to weaken Australia’s copyright laws to help train AI models, without compensating the creative sectors. asserted
government → express → sectors
But government and opposition members of a parliamentary committee on artificial intelligence appeared to revisit the issue this week, describing the current situation as a stalemate. asserted
members → appear → stalemate
They said AI models were already training on copyrighted works in the United States without compensating creators – but that without changes to local copyright laws, those companies were withholding training frontier AI models in Australia. asserted
companies → say → Australia
In a joint letter to the prime minister this week, the inquiry’s Labor chair, Jo Briskey, and its deputy chair, Liberal senator Jonathon Duniam, recommended the government “examine current copyright settings” while ensuring creators retain control and are paid. asserted
creators → recommend → control
The independent senator David Pocock has raised concerns that the committee was coming to a position on copyright predetermined by the prime minister, after staffer edits were seen in the letter. asserted
edits → raise → letter
Briskey has rejected the claim. uncertain
Briskey → reject → claim
The ICMP has been tracking how AI companies are attempting to change copyright law in different jurisdictions to allow training. asserted
companies → track → training
Phelan highlighted methods that the companies had used to train their models on music, such as with spreadsheets containing millions of lines of music available on YouTube. asserted
companies → highlight → YouTube
A key claim of the AI industry is that its models are not trained on Australian content due to copyright rules. uncertain
models → train → rules
However, in evidence provided exclusively to Guardian Australia, ICMP showed Google’s Gemini was able to reproduce lyrics from Australian artists including Kylie Minogue, G-Flip and Nick Cave. asserted
Gemini → provide → Minogue
Phelan also pointed to an AI training dataset reported by the Atlantic in June, which contains more than 12m songs pulled from YouTube videos, including tracks from Minogue, Cave and Hilltop Hoods. asserted
which → point → Minogue
Google was approached for comment. asserted
Google → approach → comment
Phelan said 62 countries had considered making their own legal changes but none of the others had bought into AI companies’ demands. asserted
none → say → demands
“There isn’t a single country among the other 61 [countries] … which has introduced a new text and data mining exception for commercial purposes, or reduce the idea of exclusive rights and copyright,” Phelan said. asserted
Phelan → be → rights
“The world is very much watching what Australia does.” asserted
Australia → watch → what
“It’s fair to say the global music industry, as well as all creative industries worldwide we work with, are appalled by the idea of a statutory scheme or a government deal which would interfere with how Australian industries work and contract around the world.” asserted
industries → ’ → world
Anthropic’s special envoy, Jeffrey Bleich, told the AI committee last week the company was not trying to dictate terms, but had shared information with the Australian government about training and what the implications would be “with respect to our capacity to operate here”. asserted
implications → tell → capacity
“You can’t license the entire internet. asserted
You → license → internet
Billions and billions of information exists there which is available to be viewed and studied, and that’s essentially what training is,” he said. asserted
he → exist → information
“Under existing Australian law, it’s our understanding that that could be determined to be illegal if we weren’t able to find a licence with every single person who had rights within Australia.” uncertain
who → ’ → Australia
OpenAI’s chief of economic policy, Adam Cohen, said the fair use exception in US law “fundamentally protects” the development of new technology. asserted
exception → say → technology
He pointed to agreements made with News Corp and the Guardian as examples of where the company makes deals for the use of work, despite arguing US law did not require such. asserted
law → point → such
Phelan said he believed panic had set in among the AI companies over the sheer cost of investment and the need to make a return, coupled with the ongoing litigation over copyright in the US. asserted
panic → say → US
He said they may be looking to Australia for a legislative solution. uncertain
they → say → solution
“They’re seeing the legislative side as being the way to try to [find] a place to do business without licences, which will secure their future business model.” asserted
which → see → model
In a submission to the inquiry, Guardian Australia said that undermining copyright protection would have a “profound impact on civil society” and copyright-protected material should only be available for AI training with the rights holder’s explicit prior authorisation. asserted
material → say → authorisation
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