Today, a prominent child safety organization, Thorn, in partnership with a leading cloud-based AI solutions provider, Hive, announced the release of an AI model designed to flag unknown CSAM at upload. It’s the earliest AI technology striving to expose unreported CSAM at scale.

  • xionzui@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    10
    arrow-down
    1
    ·
    20 hours ago

    Uh, well this one tells you if an image looks like it or not. It doesn’t generate images

      • melroy@kbin.melroy.org
        link
        fedilink
        arrow-up
        5
        arrow-down
        3
        ·
        20 hours ago

        Correct, this kind of software is trained on CP data. So such models can be easily used to generate CP instead of recognizing it, which makes them very dangerous indeed.

        Same idea as the current models that are trained to recognized cars, these models can also be used to generate a car from noise as a starting poiint.

        • xionzui@sh.itjust.works
          link
          fedilink
          English
          arrow-up
          4
          arrow-down
          1
          ·
          18 hours ago

          In pretttty sure you can’t just run it in reverse like that. There’s a whole different training and operation methodology you have to use to support generating images rather than simple text classification

          • JackbyDev@programming.dev
            link
            fedilink
            English
            arrow-up
            2
            ·
            42 minutes ago

            There is a method of training where you use one system to make things and another to detect them. I forget the name of this approach, but it definitely is an approach.