The camera never lied…until AI told it to

The camera never lied…until AI told it to
An image generated by Jos Avery using the AI ​​program Midjourney

An image generated by Jos Avery using the AI ​​program Midjourney.

An amateur photographer who goes by the name “ibreakphotos” decided to do an experiment on his Samsung phone last month to find out how a feature called “space zoom” actually works.

The feature, first released in 2020, claims a 100x zoom rate, and Samsung used sparkling clear images of the Moon in its marketing.

Ibreak took his own pictures of the Moon—blurry and without detail—and watched as his phone added craters and other details.

The phone’s artificial intelligence software was using data from its “training” on many other pictures of the Moon to add detail where there was none.

“The Moon pictures from Samsung are fake,” he wrote, leading many to wonder whether the shots people take are really theirs anymore—or if they can even be described as photographs.

Samsung has defended the technology, saying it does not “overlay” images, and pointed out that users can switch off the function.

The firm is not alone in the race to pack its smartphone cameras with AI—Google’s Pixel devices and Apple’s iPhone have been marketing such features since 2016.

The AI ​​can do all the things photographers use to labor over—tweaking the lighting, blurring backgrounds, sharpening eyes—without the user ever knowing.

But it can also transform the background or simply wipe people away from the image entirely.

And the debate over AI is not limited to hobbyists on message boards—professional bodies are raising the alarm too.

Sidestepping the tech

The industry is awash with AI, from cameras to software like Photoshop, said Michael Pritchard of the Royal Photographic Society of Britain.

“This automation is increasingly blurring boundaries between a photograph and a piece of artwork,” he told AFP.

The nature of AI is different from previous innovations, he said, because the technology can learn and bring new elements beyond those recorded by film or sensors.

This brings opportunities but also “fundamental challenges around redefining what photography is, and how ‘real’ a photograph is”, Pritchard said.

Nick Dunmur of the Britain-based Association of Photographers said professionals most often use “RAW” files on their digital cameras, which capture images with as little processing as possible.

But sidestepping the tech is less easy for a casual smartphone shooter.

Ibreakphotos, who posted his finding on Reddit, pointed out that technical jargon around AI is not always easy to understand—perhaps deliberately so.

“I wouldn’t say that I am happy with the use of AI in cameras, but I am OK with it as long as it is communicated clearly what each processing pipeline actually does,” he told AFP, asking not to use his real name .

Not ‘human-authored’

What professional photographers are most concerned about, though, is the rise of AI tools that generate completely new images.

In the past year, DALL-E 2, Midjourney and Stable Diffusion have exploded in popularity thanks to their ability to create images in hundreds of styles with just a short text prompt.

“This is not human-authored work,” Dunmur said, “and in many cases is based on the use of training datasets of unlicensed work.”

These issues have already led to court cases in the United States and Europe.

According to Pritchard, the tools risk disrupting the work of anyone “from photographers, to models, to retouchers and art directors”.

But Jos Avery, an American amateur photographer who recently tricked thousands on Instagram by filling his feed with stunning portraits he had created with Midjourney, disagreed.

He said the lines drawn between “our work” and “the tool’s work” were arbitrary, pointing out that his Midjourney images often took many hours to create.

But there is broad agreement on one fundamental aspect of the debate—the risk for photography is not existential.

“AI will not be the death of photography,” Avery said.

Pritchard agreed, noting that photography had endured from the daguerreotype to the digital era, and photographers had always risen to technical challenges.

That process would continue even in a world awash with AI-generated images, he said.

“The photographer will bring a deeper understanding to the resulting image even if they haven’t directly photographed it,” he said.

© 2023 AFP

Citation: The camera never lied… until AI told it to (2023, April 9) retrieved 15 April 2023 from

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