It acknowledged ‘inaccuracies’ in historical prompts.

  • TimeSquirrel@kbin.social
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    5 months ago

    Google has apologized for what it describes as “inaccuracies in some historical image generation depictions”

    Why the hell should anyone apologize for idiots taking AI generated info as fact?

  • admiralteal@kbin.social
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    5 months ago

    There’s two different fuckups happening here, in my opinion.

    1. Asking an generative model to do something factually accurate is an incorrect use of the tech. That’s not what they are for. You cannot expect it to give you accurate images of historical figures unless you ALSO tell it accurately what that historical figure should be.
    2. To wit: if you want it to only generate images of white people, tell it so. This tech clearly has guardrails on it because the developers KNOW it has a highly biased training dataset that they are trying to counter. They are correct to acknowledge and try to balance this biased training dataset. That isn’t a scandal, it is exactly what they should be doing.
    • Ferk@kbin.social
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      5 months ago

      While the result from generating an image through AI is not meant to be “factually” accurate, its meant to be as accurate as possible when it comes to matching the prompt that is provided. And the prompt “1943 German Soldier” has some implications in what kind of images would be expected and which kinds wouldn’t.

      I’m not convinced that attempting to “balance a biased training dataset” in the way that this is apparently being done is really attainable or worthwhile.

      An AI can only work based on biases, and it’s impossible to correct/balance the dataset without just introducing a different bias. Because the model is just a collection of biases that discriminate between how different descriptions relate to pictures. If there was no bias for the AI to rely on, they would not be able to pick anything to show.

      For example, the AI does not know whether the word “Soldier” really corresponds to someone with a uniform like in the picture, it’s just biased to expect that kind of picture to match the description of “Soldier”, regardless of whether the image is really a soldier or just someone wearing army uniform.

      Describing a picture is, on itself, an exercise of assumptions, biases, appearances that are just based on pre-conceived notions of what are our expectations when comparing the picture to our own reality. So the AI needs to show whatever corresponds to those biases in order to match as accuratelly as possible our biased expectations for what those descriptions mean.

      If the dataset is complete enough, and yet it’s biased to show predominantly a particular gender or ethnicity when asking for “Soldier” because that happens to be the most common image of what a “Soldier” is, but you want a different ethnicity or gender, then add that ethnicity/gender to the prompt (like you said in the first point), instead supporting the idea of having the developers artificially bias the results in a different direction that contradicts the dataset just because the results aren’t politically correct. …it would be more honest to add a disclaimer and still show the result as it is, instead of artificially manipulating it in a direction that activelly pushes the IA to hallucinate concepts that could not have been possibly found in the dataset.

      Alternativelly: expand your dataset with more valuable data in a direction that does not contradict reality (eg. introduce more pictures of soldiers of different ethnics from situations that actually are found in our reality). You’ll be altering the data, but you would be doing it without distorting the bias and with examples grounded in reality.

  • Baggins@beehaw.org
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    5 months ago

    Dressed as a German style soldier, not even SS or Gestapo, does not automatically make the images Nazi. Only one is in German uniform.

    Just shows AI isn’t as wonderful as some would make out, but unfortunately some people will accept that it’s factually correct. That’s where the danger lies.

    • Lath@kbin.social
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      5 months ago

      And the blame lies entirely on the companies themselves. False advertising to attract investors and placate shareholders that means lying through their teeth to make a fuss and then backtracking through language manipulation.
      They created the media that exists today. The resulting mess is their responsibility.

    • Ferk@kbin.social
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      5 months ago

      The word “Nazi” wasn’t part of the prompt though. That was something the article added for spice.