Synthetic images aren’t a replacement for real diversity.
Rezk says synthetic images are a stopgap until there are more real pictures of conditions on darker skin available. Daneshjou, though, worries about using synthetic images at all, even as a temporary solution. Research teams would have to carefully check if AI-generated images would have any usual quirks that people wouldn’t be able to see with the naked eye. That type of quirk could theoretically skew results from an AI program.
If a diagnostic model is based on synthetic images from one group and real images from another — even temporarily — that’s a concern, Daneshjou says. It could lead to the model performing differently on different skin tones. Leaning on synthetic data could also make people less likely to push for real, diverse images, she says. “If you’re going to do that, are you actually going to keep doing the work? she says. “I would actually like to see more people do work on getting real data that is diverse, rather than trying to do this workaround.”Subscribe to get the best Verge-approved tech deals of the week.Please confirm your subscription to Verge Deals via the verification email we just sent you.
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