Can machine learning turn digital data into a preservation tool for nature?

Refik Anadol: How AI art could enhance humanity's collective memory · 5:27 · Video: TED · Watch at the source

In short: Media artist Refik Anadol uses generative AI to transform vast datasets into vibrant, abstract landscapes. By treating data as a form of memory, he seeks to visualize the disappearing wonders of our natural world, creating digital pigments from the very information that defines our environment.

Refik Anadol, a Turkish-US media artist and designer, operates at the intersection of human creativity and machine intelligence. He describes his process as 'data painting,' a concept he developed after realizing that anything quantifiable—from internet activity to environmental sounds—can serve as artistic pigment. By using machine-learning algorithms, Anadol can make the invisible visible, turning complex data into colorful, abstract representations of flora, fauna, and urban life. He views computers as tools to expand human imagination. This method allows him to transform digital communication elements into unique pigments.

A central pillar of Anadol's practice is the use of large, focused, and publicly available datasets to reconstruct nature. Since the COVID-19 pandemic, his focus has shifted toward compiling the largest possible datasets to artificially preserve the natural world. This approach aims to use technology to safeguard our collective memory of ecosystems that are rapidly fading, effectively using AI to document what might otherwise be lost to time. He believes that any quantifiable aspect of life can be converted into art. This perspective treats data as a fundamental form of memory.

Anadol's journey with artificial intelligence began in 2016 during a residency at Google, where his team worked on the Archive Dreaming project using Salt, an open-source library in Turkey. Starting with software trials in 2008, his pieces have transitioned into major displays at renowned venues such as the Venice Architecture Biennale, Australia’s National Gallery of Victoria, the Centre Pompidou-Metz, and New York’s Museum of Modern Art. His early work involved programming computers and exploring software capabilities. He began his specific artistic practice using machines during his high school years.

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