Child safety org flags new CSAM with AI trained on real child sex abuse images
arstechnica.com
AI will make it harder to spread CSAM online, child safety org says.

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.worksEnglish
    111·
    3 days ago

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

      • melroy@kbin.melroy.org
        64·
        3 days 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.worksEnglish
          61·
          3 days 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.devEnglish
            2·
            3 days 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.