Nsfw ai itself is capable of finding out nsfw images but struggles on the if they are a deepfake. AI-generated Videos or Images that Manipulate Imagery to Create Gory but Very Realistic Depictions of People. These are clear differences that exist between explicit content, where nsfw ai is built to recognize it directly, and deepfakes, which may require a more robust recognition system based on facial inconsistencies and vocal audio. Deepfakes became quite a popular form of cyber fraud, as the 2021 assessment from DeepTrace Labs states that number of deepfake videos on the internet increased by 84% in the duration between 2019–2020.
nsfw ai might flag some things inside a deepfake video or image (nude, porn content) but it does not work to find out whether the video/image is real or fake. To tackle this, more advanced models such as Microsoft’s Video Authenticator and Facebook’s Deepfake Detection Challenge use machine learning techniques to spot the signs of video manipulation [13]. The main emphasis of these technologies is on the irregularities of blinking or a lighting anomaly, and also digital artifacts that are commonly seen in deepfakes but unable to detect accurately all kinds of deepfake contents.
In 2020, for instance, a research group from the University of Maryland created a deepfake detection model that correctly identified deepfakes with 96% accuracy by examining per-frame pixel-level discrepancies in videos. That said, nsfw ai does not provide deepfake detection on the same level of effectiveness by default which is a foreseeable problem with such technological advancing use. For example, nsfw ai is primarily trained to identify visual pornography and nudity [67]. As a result, deepfake detection typically involves specialized models that are trained to recognize subtle visual (similar to perceptual hashes) and auditory manipulations that fall outside the scope of traditional nsfw datasets.
While these efforts face their own set of limitations, including deepfake content having advantages over the very detection systems they seek to integrate into existing nsfw ai-utilizing platforms, Now, companies such as YouTube and TikTok are working with AI firms to integrate deepfake detection tools into their content moderation pipelines. To control constricted content, YouTube utilizes both nsfw ai and deepfake-specific detection systems pioneering the way for manipulated content removal, banning over 9 million videos in 2020 — the vast majority of which were flagged due to misinformation or manipulation.
In the words of Andrew Ng, AI expert, “the magic of deep learning is that it gets better as it has more data,” so that both nsfw ai and deepfake detection models will only keep getting smarter as they are trained on increasingly diverse datasets. NSFW ai can aid in finding pornographic or objectionable material within deepfakes but to really detect these AI-generated videos and images it takes more specialized models. Find out how nsfw ai can help us with other technologies at nsfw ai.