Aaron Bunch Journalist with Australian Associated Press | Collection of published work | + 61 484 008 119 | abunch@aap.com.au

Aaron Bunch
AI helps unlock ancient rock art mysteries

Archaeologists are using artificial intelligence to study how Aboriginal rock painters’ styles developed over thousands of years.

April 1, 2021

Scientists are using artificial intelligence to study ancient Australian rock art to learn how the Aboriginal artists’ styles developed over thousands of years.

The painted motifs are not only weathered but often located in remote areas only accessible by helicopter, making prolonged field research tough.

It’s hoped the technology, which is similar to facial recognition software, will eventually be able to help archaeologists identify individual artists.

“We’ve been working in Arnhem Land where there are lots of different styles of human figures,” Flinders University archaeologist Daryl Wesley told AAP on Wednesday.

“So we thought let’s see if a machine can help group these by styles that we know exists and is well defined.”

Dr Wesley said programmers trained the software with millions of images so it would be able to determine the difference between the ageing motifs.

The works, which are between 5000 and 15,000 years old, often have only slight variations making them difficult for experts to classify and understand.

“It was remarkable. It not only separated them but ordered them in chronological order. It was a revelation,” he said.

“We think there are a lot of applications. I’m interested in using it to tell the difference between species of macropods – kangaroos and wallabies.”

Dr Wesley and his team worked with the Mimal and Marrku people of the Northern Territory’s Wilton River area.

“We do this work with traditional owners who bring traditional ecological knowledge, but sometimes animals are hard to figure out because all macropods look a bit like kangaroos,” he said.

“So we have a lot of trouble determining species.”

Dr Wesley said it was the first time artificial intelligence had been applied to rock art to help researchers categorise works.

‘It’s a far more accurate and a less biased way to identify works because we bring our own preconceptions to them,” he said.

“We hope it will eventually help identify individual artists and new styles of painting as it gets more sophisticated.”

The software analyses hundreds of different points or components on each rock art photo and compares them for differences with other photos.

“We’re using a computer program to show how unique the rock art is in the Wilton River and how it relates to the rock art in other parts of Arnhem Land,” Dr Wesley said.

The study was published in Australian Archaeology.

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