Gender Bias in Text-to-Image Generative Artificial Intelligence When Representing Cardiologists.

Comments

• TheGrandNagus@lemmy.world ⁨1⁩ ⁨month⁩ ago

  So people are complaining that the depictions of cardiologists, when you ask an image generator to show you one, are too accurate? That they typically show you a picture of a man in a job where the vast majority are men?

  You’d likely see the same thing if you asked one to show you a warehouse worker, another job that’s male-dominated.

  If people want more women in these roles, push for it at the university level. Push for it in medical posters in hospitals. I don’t see how forcing the hundreds of AI models out there to be biased in favour of depicting women when their training material doesn’t have as many is an effective way of achieving this goal.

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  • Deceptichum@quokk.au ⁨1⁩ ⁨month⁩ ago

    Because the biases in an AI model will shape the perception of people entering those fields more than a poster at a place where people have already entered those fields work at.

    Likewise you can train it out of a bias, just feed it more content showing diverse workforces and it will start weighing them higher.

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    • conciselyverbose@sh.itjust.works ⁨1⁩ ⁨month⁩ ago

      Representative of actually real world statistics is not “bias”.

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    • TheGrandNagus@lemmy.world ⁨1⁩ ⁨month⁩ ago

      The depiction aligning with reality is not a bias. Artificially altering the algorithm so that it shows more women for this prompt on the other hand is, unquestionably, adding a bias.

      If you want to add a bias, fine. Biases aren’t always a bad thing. But don’t pretend that what you’re actually advocating for here is correcting a bias.

      Likewise you can train it out of a bias, just feed it more content showing diverse workforces

      That is training in a bias. Because it’s not representative of reality.

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• Kusimulkku@lemm.ee ⁨1⁩ ⁨month⁩ ago

  The gender distribution was not statistically different from that of actual Australian workforce data

  Sounds alright to me.

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• slacktoid@lemmy.ml ⁨1⁩ ⁨month⁩ ago

  AI is gonna mirror our biases back to us. If the AI has found a bias it’s cause or our internal biases. You could force diversity to hide the underlying issue and then you’ll get PoC nazis during WW2 like what Google did. Or … Call me crazy … But we could try to address the underlying societal issues.

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