Nikon Strips AI Video Winner of Small World in Motion Prize

In a now-deleted LinkedIn post, Xu acknowledged using AI, but insisted it was limited to post-processing — specifically to 'distinguish and visualize features in the reconstructed grayscale images from the super-resolution optical imaging.' He said AI did not generate the video itself, the cilia, or their movement, and maintained he had not broken contest rules.

Enhancing microscopic details is a common and accepted practice in scientific imaging, but researchers typically rely on physical techniques such as stains and dyes applied to the samples. Xu's explanation did not address the structural abnormalities found in his footage. Some scientists said the doubts could have been resolved if Xu had shared the RAW grayscale video.

Nikon ultimately sided with the investigators, determining that Xu had violated the competition's rules. The company said it will 'revisit rules and evaluation procedures for future competition entries.'

This is not the first time AI-generated content has slipped into — and sometimes won — competitions meant for human creators. In 2022, a Midjourney image won a category at the Colorado State Fair's annual art competition. A year later, an AI creation won a photography contest hosted by Australian retailer digiDirect, and an artist refused his Sony World Photography Award because his image was AI-generated.

In a 2024 case, a man who won a digital art competition with an AI-generated image complained that people were stealing his 'work' and that he could not copyright it. The repeated pattern suggests competitions across art, photography, and science still lack clear, enforceable ways to separate human-made work from machine-generated output.

For anyone in Tunisia who follows science photography or enters international contests, the Nikon case is a clear warning: organizers are now actively checking for AI use, and a title can be revoked after the fact. If you submit microscopic or time-lapse footage, keep your original RAW files and be ready to share them if questions arise.

There is no word yet on whether Nikon's revised rules will affect future Tunisian entrants, and no details on prize money or Tunisian availability of any related products. The broader takeaway is that AI tools are changing how competitions define authenticity — and scientists are getting better at spotting synthetic content.