• Art Jahnke

    Senior Contributing Editor

    Art Janke

    Art Jahnke began his career at the Real Paper, a Boston area alternative weekly. He has worked as a writer and editor at Boston Magazine, web editorial director at CXO Media, and executive editor in Marketing & Communications at Boston University, where his work was honored with many awards. Profile

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There is 1 comment on Making Artificial Intelligence Intelligible

  1. Commenting on this quote: But if you ask a human to evaluate that, the human would say that’s a terrible explanation. The [focus] should be on the woman. But the network actually has a good explanation. It’s just that the model is not making a decision the same way a human would make it. So a biased human might say, ‘That’s not how I would make a decision, so it’s incorrect.’ The human would be wrong.”

    That’s a misperception. There are so many misogynist humans that would come to the very same conclusion. They see a kitchen and one of their thoughts might be “women belong to the kitchen”. Why? Because they’ve been trained to associate that. We’re setting some kind of weird gold standard to AI, as if humans and human decision-making processes were perfect and foolproof. But they are not. Humans, just like AI, depend on their training data. It’s just that we humans call it “upbringing” and “social background”. If you train a neural network with images of kitchens that only have women in them, then – OF COURSE – you are creating a mysoginist network. Because your training data was wrong.
    If you take a human that doesn’t have any knowledge, and show it a million images of kitchens with women in them, and then ask him to determine the meaning, the human would probably come to a similar conclusion.

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