Arsenii Alenichev typed sentences like "Black African doctors providing care for white suffering children" and "Traditional African healer is helping poor and sick white children" into an artificial intelligence program designed to generate photo-like images.
His goal was to see if AI would come up with images that flip the stereotype of "white saviors or the suffering Black kids," he says. "We wanted to invert your typical global health tropes."
Alenichev is quick to point out that he wasn't designing a rigorous study. A social scientist and postdoctoral fellow with the Oxford-Johns Hopkins Global Infectious Disease Ethics Collaborative, he's one of many researchers playing with AI image generators to see how they work.
Alenichev's work is part of a broader study of global health images that he is conducting with his adviser, Oxford sociologist ...
When Ludivine Verboogen and Romain Alderweireldt’s third child was born in Belgium in late 2015, they marveled at his long fingers. Perhaps one day he will be a famous pianist, they thought. But soon Ludivine grew worried that her son...
By Carl Zimmer and Marco Hernandez , The New York Times | 07.01.2026
Aggregated News
Scientists have long dreamed of discovering the alchemy by which chemicals can be turned into life. On Wednesday, a team at the University of Minnesota announced that it had taken a major step toward that vision.
We now know the master gene that controls embryonic development in people. Called NANOG, its role has been identified by making precise changes to the DNA of fertilised eggs using a technique called CRISPR base editing.
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