Overview
- AI Forensics published a report on Tuesday that tested nine popular image-editing Spaces on Hugging Face and found seven produced topless edits from a simple prompt.
- Researchers created honeypot Spaces that collected more than 1,000 user submissions over seven days and found 73 percent of prompts were sexual with 83 percent seeking to undress subjects.
- The study says 95 percent of targeted images were of women and roughly 6.7 percent of sexual requests appeared to involve children, highlighting specific harms to vulnerable people.
- Hugging Face’s rules ban sexual deepfakes without consent and child sexual content but the company’s enforcement appears inconsistent and some nudifying pages were removed only after media inquiries.
- AI Forensics recommends platform-level input and output filtering plus scanning of Spaces, and the findings add pressure for clearer rules, stronger tech controls, and regulatory action in the EU, UK, and U.S.