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.

  • melroy@kbin.melroy.org
    link
    fedilink
    arrow-up
    5
    arrow-down
    3
    ·
    1 month 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
      5
      arrow-down
      1
      ·
      1 month 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
        ·
        1 month 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.