Every time someone in the UK searched for child abuse material on Pornhub, a chatbot appeared and told them how to get help.
A trial program conducted by Pornhub in collaboration with UK-based child protection organizations aimed to deter users from searching for child abuse material (CSAM) on its website. Whenever CSAM-related terms were searched, a warning message and a chatbot appeared, directing users to support services. The trial reported a significant reduction in CSAM searches and an increase in users seeking help. Despite some limitations in data and complexity, the chatbot showed promise in deterring illegal behavior online. While the trial has ended, the chatbot and warnings remain active on Pornhub's UK site, with hopes for similar measures across other platforms to create a safer internet environment.
Because "CSAM" states abuse as the third word in the acronym. Machine learning could (in theory, I lack knowledge on the current implementations) be trained without any children being abused (in any traditional sense anyway) and used to produce the content without any real children being involved (ignoring training data).
The downvotes likely come from a difference in definition between abuse and CP, images of nonexistent people cannot realistically harm anyone.
Personally, I don't think it's arbitrary. A child in a sexual scenario is a depiction of abuse. Normal, healthy children don't engage in such behaviors.