The shock of seeing your body used in deepfake porn
Deepfake NCII harms are live in the Australian regulatory environment - eSafety and OAIC have existing frameworks, but AI capability is outpacing enforcement.
Key points
- Non-consensual AI deepfake pornography causes serious reputational, financial, and psychological harm to real people.
- Australia's Online Safety Act and eSafety Commissioner have jurisdiction over non-consensual intimate image abuse including deepfakes.
- Item focuses on US adult content industry harms; limited direct APS governance or policy action implied.
Summary
A first-person reported piece from MIT Technology Review details the harms experienced by adult content creators whose likenesses are used without consent to generate AI deepfake pornography. Harms include reputational damage, financial loss, fan scams involving AI-generated personas, and psychological distress. The piece also raises questions about whether using performers' content to train AI models constitutes a form of non-consent, particularly where original contracts predate AI. The item is US-focused and industry-specific, but the underlying harm patterns are directly relevant to Australian online safety and AI ethics policy debates.
Implications for Australian agencies
- Monitor eSafety and OAIC policy teams may want to monitor how deepfake NCII harm patterns are evolving to inform future guidance or legislative review under the Online Safety Act.
- Consider Agencies developing AI ethics or responsible AI frameworks could consider whether consent and retrospective data use provisions adequately address training data drawn from pre-AI-era personal content.
Implications are AI-generated. Starting points, not advice.
"The shock of seeing your body used in deepfake porn" Source: MIT Technology Review – AI Published: 14 May 2026 URL: https://www.technologyreview.com/2026/05/14/1137161/ai-porn-nonconsensual-deepfakes-takedown-piracy-copyright/ A first-person reported piece from MIT Technology Review details the harms experienced by adult content creators whose likenesses are used without consent to generate AI deepfake pornography. Harms include reputational damage, financial loss, fan scams involving AI-generated personas, and psychological distress. The piece also raises questions about whether using performers' content to train AI models constitutes a form of non-consent, particularly where original contracts predate AI. The item is US-focused and industry-specific, but the underlying harm patterns are directly relevant to Australian online safety and AI ethics policy debates. Implications for Australian agencies: - [Monitor] eSafety and OAIC policy teams may want to monitor how deepfake NCII harm patterns are evolving to inform future guidance or legislative review under the Online Safety Act. - [Consider] Agencies developing AI ethics or responsible AI frameworks could consider whether consent and retrospective data use provisions adequately address training data drawn from pre-AI-era personal content. Retrieved from SIMS, 18 May 2026.