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  • AI, everybody. Its totally fine and unbiased in any way shape or form.

    Denis Malimonov is the programmer behind Face Depixelizer, and in an email to Motherboard said the tool is not meant to actually recover a low-resolution image, but rather create a new and imagined one through artificial intelligence.

    “There is a lot of information about a real photo in one pixel of a low-quality image, but it cannot be restored,” Malimonov said. “This neural network is only trying to guess how a person should look.”

    https://www.vice.com/en_us/article/7kpxyy/this-image-of-a-white-barack-obama-is-ais-racial-bias-problem-in-a-nutshell

  • Surely if it's a neural network its heavily dependant on what data it's been trained on right? So there's always going to be an inherent bias as a result of what data has been chosen for it to be trained on.

    Haven't yet read the article by the way so apologies if I'm way off the mark as a result.

    Edit: Should've read the article, last paragraph here:

    “Dataset is generally biased which leads to bias in the models trained. The methodology can also lead to bias,” Jolicoeur-Martineau said in an email. “However, bias inherently comes from the researcher themselves which is why we need more diversity. If an all-white set of male researchers work on project, it's likely that they will not think about the bias of their dataset or methodology.”

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