Nikon strips the winner of its Small World in Motion microscopy video contest after ruling his use of generative AI broke the rules
The winner of a prestigious scientific photography competition has been disqualified after organizers concluded that his use of generative AI broke the rules.
Context
The case shows how hard it has become to judge scientific imagery when AI enhancement is involved, and it is pushing contest organizers to rewrite their rules.
Small World in Motion is Nikon's annual competition for video taken through microscopes. Nikon announced the decision in a statement dated October 9, and the BBC, The Verge and Nature reported it that day, so CNN's October 12 post is a later write up. CNN calls it a photography competition, but the disqualified entry was a video.
Deep dive
On October 12, CNN posted that the winner of a prestigious scientific photography competition has been disqualified after organizers concluded that his use of generative AI broke the rules.
Nikon said that after reevaluating the video and supporting materials and consulting its judging panel, it determined the winning video did not comply with the competition rules on generative AI. It said the decision should not be read as a judgment of the entrant's professional reputation, scientific contributions or intent.
According to Nature, the video by Ning Xu, an optical engineer at the National University of Singapore, showed cilia moving in the lungs and won first place on September 15. Within days, scientists commented on LinkedIn that some features looked biologically implausible. Nature reported that Xu wrote that his team used an AI model in post processing to enhance the regions below the cilia without making anatomical claims about them. The BBC described Xu as being from Tsinghua University and said he believed he had acted within the rules.
The Verge reported that a video by Nguyen Nam Nhat now holds first place, and that Nikon plans to revisit its rules and evaluation procedures.
What to expect next
Watch for Nikon's revised rules for next year's Small World contests, especially how they define acceptable AI assisted processing versus generated content.
Also watch whether journals and other science imaging competitions adopt similar disclosure requirements, and whether Xu or his institution publish the raw data behind the video to settle questions about what it shows. The outcome will shape how researchers present AI enhanced imaging in future entries.