Nikon disqualifies Small World in Motion winner over generative AI use

Nikon has disqualified the first-place winner of its Small World in Motion microscopic video competition after discovering the submission violated rules against using generative AI.

The winning entry, created by Dr Ning Xu, claimed to show the movement of cilia—tiny, hair-like structures—in the airway of a child suffering from primary ciliary dyskinesia, a rare respiratory condition. However, Nikon launched a review of the entry following widespread skepticism online about its authenticity.

Dr Xu later acknowledged using artificial intelligence to alter the footage. Writing on LinkedIn, he explained that "an unsupervised neural-network method was subsequently used for AI-assisted post-processing to distinguish and visualize features in the reconstructed grayscale images from the super-resolution optical imaging."

While Dr Xu framed the technology as a tool for clarity, the use of neural networks to generate visual data fell foul of Nikon’s competition guidelines. Nikon has now removed the video from its website and updated its rankings, elevating a submission by Nguyen Nam Nhat to the top spot.

The decision has forced the camera giant to confront how artificial intelligence is changing scientific imaging. Nikon said it plans to "revisit rules and evaluation procedures for future competition entries" to better handle the rapid evolution of AI tools.

However, the company sought to soften the blow for Dr Xu, stating that the disqualification "should not be interpreted as a judgment of the entrant’s professional reputation, scientific contributions, or intent."

The controversy highlights a growing tension at the intersection of science and photography. Researchers routinely use software to clean up noisy data or sharpen blurred images. But generative AI introduces a different problem: it does not just clean up an image; it predicts and creates visual details that the camera lens never actually captured.

For contests like Small World, which have spent decades celebrating the hidden visual realities of the natural world, distinguishing between a highly processed real image and an AI-synthesised one is becoming an existential challenge.