For years, hashing technology has helped platforms detect and remove known child sexual abuse material (CSAM), but the challenge of identifying new, unknown CSAM has persisted—until now. Recent advancements in AI are transforming child safety efforts, enabling platforms to proactively detect previously unreported CSAM at scale. This panel brings together experts from Thorn, Internet Watch Foundation and Hive to explore how AI classifiers are reshaping the fight against online child exploitation. 

• How AI models are trained to detect unknown CSAM while minimizing false positives and negatives
• The role of human oversight in AI-driven content moderation
• Strategies for increasing industry adoption and ensuring AI tools evolve responsibly
• The emerging challenge of AI-generated CSAM and what platforms can do to prepare