They’re adding moderation because platforms need NSFW AI chat systems well integrated into them. Enable companies to prevent real-time exposure of profanity or hate speech. NSFW AI chat includes machine learning algorithms that are trained on millions of datasets to identify text, images and videos that fall into specific categories such as sexual content, violence or hate speech. A 2023 report from Stanford University claims that three out of four AI-driven moderation resource types in chat app significantly lower the amount of offensive or inappropriate content in chat, making for a safer online community.
NSFW AI chat systems function by analyzing user input and marking flagged content based on preset guidelines or learned behavior. These systems function based on natural language processing(nlp) + computer vision to understand text and images. Microsoft also rolled out its Azure AI content moderation service in 2022, utilizing these same forms of AI technologies to process > 5 million messages every second. The effectiveness of these sorts of moderation tools depends largely on their capacity to deal with complicated interactions, like understanding when people are using slang or coded language that could get past regular filters.
In the context of chat systems where users may come and go at any point during a conversation, it makes moderating sensitive content ultimately more difficult than a system where every post seems to stay for arbitration. Using AI chat moderation tools, live-streaming giant Twitch experienced a 34% drop in harassment cases in 2021. By flagging abusive language for human moderators to review, these tools made it possible for a quicker response time and a more accurate edit. It has an option for adjusting the moderation process to tailor it around what is best suited for the community and a customizable setup.
Despite those innovations though, NSFW AI chat systems are still imperfect. Despite the success of AI in identifying pornographic content with as much as 97% accuracy in lab environments, problems around false positives and bias remain. An example of this comes from a 2020 study in the California journal assessing AI systems, which found that they struggled with content moderation across various languages or dialects and were between 8% to 12% more prone to error when moderating non-English inputs. In addition, AI tools also have context misinterpretation problems and end up flagging non-offensive content. Which is why many platforms provide an appeal process for users to contest such decisions, and humans are often called in to review flagged content.
In 2023, NSFW AI chat systems are being updated frequently with the following elements to better support moderation capabilities (better accuracy and less bias). Facebook’s VP of Artificial Intelligence Jerome Pesenti released a statement addressing the Facebook AI Research research paper, stating: “We want our moderation systems to be better at understanding not just the content but also the context in which people are talking.” That’s the secret to making moderation better.”
In general, the NFSW AI chat systems do have moderation tools to improve their effectiveness — but they are not infallible. This can greatly improve user safety through harmful content filtering and needs to be improved indefinitely as language and context evolves (Hate Speech). The conundrum is how to keep platforms used by these tools at an optimal automation level while allowing for human oversight.
To learn more on how these NSFW AI chat systems can improve moderation processes, go to nsfw ai chat.