This report provides an initial assessment of the threat landscape emanating from online child predator communities as they focus attention on the creation of the production of child sexual abuse material (CSAM) at scale. This report offers a sample of: • Trending behavioral developments within child predator communities as they assess GenAI; • A review of the generation of GenAI image-based CSAM and the methods employed to produce it by threat actors; • A brief on the generation of GenAI text-based CSAM and the methods employed to produce it; • AI models that are in circulation to allow specific types of CSAM to be produced; • Legal context of the GenAI CSAM.
Bracket Foundation and UNICRI Centre for AI and Robotics
BI Norwegian Business School, Norwegian University of Science and Technology
University of Pennsylvania Columbia University
B. S. Abdur Rahman Crescent Institute of Science and Technology
King Faisal Specialist Hospital and Research Centre Princess Nora bint Abdul Rahman University Mississippi State University
Technological University Dublin
Technological University Dublin
Technological University Dublin
Zurich Institute of Forensic Medicine
Adhiyamaan College of Engineering
The Economist Intelligence Unit
Australian Institute of Criminology
Auckland University of Technology
Humboldt Universitat zu Berlin
Nalla Malla Engineering College, Galgotias University, Vellore Institute of Technology
Uskudar University Medical Faculty, Istanbul, Turkey
University of Edinburgh and George Mason University
The Economist Intelligence Unit
ITU/UNESCO Broadband Commission for Sustainable Development
University of New Haven / Digital Forensic Research Workshop
Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University
Department of Psychology, University of Gothenburg