Thorn is an NGO that is dedicated to building technology to combat child sexual abuse. We believe that every child has the right to be safe, to be curious, to be happy. Thorn as an organization sits at the intersection of technology, NGO’s, survivors and law enforcement agencies. This means that thankfully, we have many resources to call upon when answering that question: what do we need to know? How can we leverage the digital footprints of child abuse to find victims faster, stop re-victimization, and prevent abuse in the first place? Our work at Thorn is broadly guided by three principles: accelerating victim identification, equipping platforms, and empowering the public. We build products and technology standards, lead new programs, maintain essential resources, and develop awareness campaigns to attack the issue from all sides. All of our work streams rely on data: elevating data intelligence via data science and machine learning, effectively communicating data to the right audiences, etc. Our strategy is to deliver scalable technology products, paired with globally connected data, to accelerate victim identification, stop re-victimization and prevent abuse. We believe that technology must be part of the solution. This talk will focus on the machine learning/AI solutions we’ve developed at Thorn, called Technology Standards. We will give an overview of the technology, how we prioritize wellness in building this technology, how we collaborate cross-functionally to deploy this technology internally and externally to have impact. Finally, we will touch on how we engage with ML/AI emerging threats, such as synthetically generated CSAM.