Tech for Good: Using Machine Learning to Detect Sexual Harms Against Children

In this on-demand webinar hosted by Thorn, we explore the use of machine learning for detection of CSAM and CSE on digital platforms. Thorn’s Rob Wang, Senior Manager of Data Science, and Amanda Volz, VP of Customers and Strategic Partnerships, discuss solutions to help trust and safety teams efficiently and effectively address the rise in online sexual harms against children. Discover Thorn’s newest solution designed to proactively detect text-based harms and policy-violating messages that include discussions of sextortion, self-generated CSAM, access to children and more. 

• Understand the trend lines for online sexual harms against children
• Learn about available machine learning solutions for proactive detection
• Discover additional layers to consider for a holistic approach to online child safety

Watch now to learn how you can efficiently and effectively address text-based online sexual harms against children.