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 says he’s 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.”
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 assembled by a group of researchers known as Sleeping AI.
Sleeping-DISCO-9M comprises 9.7 million music tracks from YouTube plus lyrics from Genius.com, while a second dataset LAION-DISCO-12M was created by Germany-based group LAION, using 12.3 million YouTube tracks.
The Atlantic cautioned that AI companies might omit works when training their models, so the inclusion of songs in datasets is not definitive proof they have been used.
The datasets are 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,” said chief executive Dean Ormston.
Australia’s intellectual property laws hold that permission should be granted and terms such as payment agreed on before copyright…
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