Though that strategy can be contagious, it runs around several common pitfalls that strip NSFW AI of some its efficiency and accuracy. One of them is its false positive rate, and some can get to over 10 percent on most platforms. This results in non-explicitly adult content — such as artistic or medical images — being erroneously blocked. According to a 2021 article in The Verge, AI filters at major platforms such as Facebook incorrectly blocked up to five percent of benign content — which annoyed many users and creators.
Context comprehension is another hurdle. NSFW AI relies on algorithms to process and analyze the images, text etc.. but most of this system lacks sensitivity in interpreting nuanced contexts. For example, natural language processing (NLP) models can confuse commons terms for offensive content and misunderstand jokes or in culture slang which might not be explicitly harmful. In a 2022 study by Harvard University, it was reported that NSFW AI systems fail to contextual content about 15% of the time.
As I noted near the beginning of my post, Elon Musk has said that AI remains “enslaved” to humans because it can’t really comprehend content as well as a human. What he expresses just reflects the examples of inefficiencies in filtering we saw where NSFW AI cases were misidentifying content simply from patterns on the surface and not excavating into deeper contexts.
Cost is another important factor. It is quite expensive to develop and maintain NSFW AI, some platforms spend $10M+ per year optimizing their models. Since it is costly to stay updated with new kinds of explicit content, smaller companies might struggle more than large corporations when trying these systems out.
The second problem is efficiency. Although NSFW AI can handle 100,000 images per second; however,the actual performance of this technology is largely determined by the quality and utility of data. As a result, when new deep learning based AI models are deployed to detect different types of explict content, it will have lost its accuracy in the tasks. Although OpenAI is making an effort to update its models more quickly, most top end platforms describe a process that lasts 3–6 months to fully integrate anything new with their AI solution.
Last, but not least: privacy issues remain a huge drawback. This specialization of data input form, may increase the accuracy but makes it hard to track or develop a sensitive handling process for such content. The data collection practices of platforms like Google have taken some heavy criticism, and privacy while training AIs is still a significant problem.
Although the NSFW AI has made huge progress, these common mistakes illustrate why there are also limitations to it. Crushon AI says it has tools for platforms or businesses that need something more robust to handle some of these issues. Find out more at nsfw ai.