# Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries ## Overview **Authors:** Rebecca Umbach, Nicola Henry, Gemma Beard, Colleen Berryessa **Publication Date:** 13 February 2024 **Link:** **Keywords:** Deepfake pornography, deepfakes, AI-generated images, image-based sexual abuse, non-consensual explicit imagery pornographic imagery **Type:** Articles/Reports ## Summary The study "Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Perceived Harm" examines the global occurrence of deepfake pornography, with data from over 16,000 participants across ten countries. It found that 2.2% of respondents were victims, while 1.8% admitted to creating or sharing such content. Most people agreed that this form of imagery is harmful, but the presence of laws in some regions hasn't effectively reduced its prevalence. The authors emphasize the need for digital literacy education, stronger platform policies, and better enforcement to address the issue. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://library.xrguild.org/ai-ethics/non-consensual-synthetic-intimate-imagery-prevalence-attitudes-and-knowledge-in-10-countries.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.