NSFW AI systems are around 95% accurate at detecting pornographic content in images but the accuracy depends on context and type of explicit material. While it is very accurate false positives, in which non-explicit content are incorrectly flagged as explicit have been shown to be present about 10% of the time. That is far from acceptable, but what might be even more diabolical and treacherous is that creatives (artists etc) cannot predict when the AI will interpret something offending from a neutral artisitc content or nuanced mixed-signal sequence.
The NSFW AI radar charting for content detection cesspools are flush with terminology like “algorithmic precision” and the base sizes that will hit a trifecta false positive rate. YouTube, for instance which has to handle more than 500 hours of video every minute relies on AI significantly in terms of moderating content. But thanks to even the most evolved machine learning models, AI has its grumbles with context--and since that causes mistakes whose burden falls on everyone involved in content distribution or consumption (which is kinda all of us), there's work still left to be done.
Even historical examples (e.g. Facebook implementing NSFW AI) do show the perfection is still far away but additionally might be quite expensive. Facebook accidentally banned many of the breastfeeding photos in 2018 as a nude because AI made overtakes humans misleading and revealing deficiencies within NOW AIs. The incident showcases the problem platforms face when trying to walk a line between tight moderation versus allowing user-generated content.
Even experts such as AI researcher Andrew Ng, say that "AI reliability only increases with better data and more sophisticated algorithms", but there will always remain in a margin of failure — specially for complex sceneries. This point brings to the fore the fact that NSFW AI has massively improved but perfect accuracy is still a long way off, especially when involving niche or cultural understanding.
The performance of NSFW AI in terms of content detection is equally vital for platforms with high UGC. AI, on the other hand analyzes millions of posts every day at high speed which then go through a fast processing that for sure lacks in depth to pick up nuances as compared by an AI human moderator could fit. Speed is important, but a trade-off between speed and potential for more or less censorship may lead to unhappy users.
It is not nearly as good with complex or nuanced topics, particularly those that involve creativity of culture. Statement: Due to the current shortcomings in AI, a high percentage of detection is possible but still with errors; therefore further updates and human control are necessary. Improved generalizability :As nsfw ai technology evolves its meant to be used in various domains, therefore keeping the trust of users and platform integrity will require it not only to work well across different workflows but also brings new possibilities with a single model.