Ms Claire Rush:

There are two ways in which that can work. One is that across industry there is a shared database of hashes so if Google or Twitter were to input, say, 100 images into that database, once that content is in the database, if someone tried to share that image on Facebook it would be caught and immediately removed. The second way it would work is through the way Mr. Ó Broin just described it. If new images were uploaded, our classifiers in AI would look for certain thresholds or signals to see if that image would meet a certain threshold of violation. If that ticks the box, so to speak, of being violating material, it would also be caught, hashed and banked.

There are two mechanisms, one of which is the shared process while the other is for new images we discover.