Deepfakes are a type of synthetic media that uses artificial intelligence (AI) and machine learning (ML) algorithms to create realistic images, videos, or audio recordings. This technology has been around for several years, but its popularity has grown exponentially with the development of more sophisticated AI models and the availability of large datasets. Deepfakes can be used for various purposes, including entertainment, education, and even malicious activities.
The most severe outcome of AI in adult content is the massive increase in NCII. Research indicates that roughly , with 99% of those images targeting women . A 2019 study found that 96% of deepfake videos were nonconsensual pornography. The number of nonconsensual pornographic deepfake videos available online has increased ninefold since 2019 , and monthly traffic to the top 20 deepfake sites increased by 285% from July 2020 to July 2023. adultdeepfakescom
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If you come across deepfake content, consider the source and the consent of the individuals involved. Supporting platforms or creators that prioritize consent can help promote a more ethical approach to this technology. Deepfakes are a type of synthetic media that
Adult content creators themselves are not immune. Their bodies are increasingly being used in deepfake pornography without their consent, and AI is making the problem significantly worse. Researchers have coined the term to describe the real physiological and psychological damage that deepfake content causes, including body dysmorphia and self‑censorship among those targeted. The most severe outcome of AI in adult
Hash matching converts harmful images into digital fingerprints ("hashes") stored in a database. When a user attempts to upload an image, the platform can check whether its hash matches any known NCII hash. The UK's Ofcom has endorsed hash matching as a critical tool, recommending services like as an approved hash database.