This includes NSFW AI for content moderation, which is the single use case that is perhaps most common throughout many industries. The reason NSFW AI is most visible on social media platforms like Facebook, Instagram and Tiktok etc. is that algorithms are trained massively so they can be very good in detecting such content quickly, and removing it! Meta reported in 2022 that its AI systems automatically detected and removed more than 95% of nudity before being reported. It diminishes the need for human moderators, which results in companies saving millions of dollars every year on business operations.
NSFW AI also serves e-commerce platforms that accept user-generated content, including product reviews and photos. This is being used by marketplaces such as eBay and Amazon to screen through millions of images posted on their sites every day, removing any potential NSFW images from the sellers who are just trying to sell their products. More recently, Amazon has said its AI-led content moderation made work 20% faster and reduced hands-on approach time and improved the security of the platform.
And in the gaming space, NSFW AI is more commonly employed for moderating player interactions in multiplayer environments. We deployed these systems on platforms like Twitch and Discord to prevent real-time interactions from breaking into explicit content in chatrooms / share media. In 2021, Twitch mentioned that it has implemented NSFW AI to automatically detect and delete more than one and a half million reported comments by mid-year, making the experience better.
It also contributes to educational platforms by ensuring that educators can authorize their online learning environments against inappropriate NSFW bots. For instance, Coursera or Khan Academy use NSFW AI to track forums and discussions that are online 24/7 to help educators keep the program sanitary and professional grade for students. Such instigation minimizes the likeliness of educational websites containing explicit content, which results in narrower areas for learning and an increased reliance on non-traditional education and this ancillary trust.
Last year saw a significant turning point, when payment processors pressured OnlyFans to adapt its content policies. To moderate the barrage of content on its platform (in keeping with a curbing of standards), it turned to NSFW AI. OnlyFans implemented this change to save them from any potential legal and financial troubles, and many other platforms went on its steps adding crispy NSFW AI to avoid any scandals.
This is a key strength of NSFW AI as it could rapidly parse thousands of images in seconds. The AI designed for screening the image content by Google is capable of assessing around 1 million images per second, is an incredible initiative to spare the dull and high-expense human evaluation for any platform. Accuracy rates also get better over time as models keep getting better, with some models even able to have well above 98% accuracy in identifying inappropriate content, which further reduces false positives and negatives.
Then, as AI pioneers Andrew Ng propounded that AI is the new electricity and a general purpose technology (GPT) whose impact spans across all sectors. Given that NSFW AI is being used to help monitor some of the patient imagery we have, in particular as significant aspects of the body needs to be secure and protected upon shared by those within healthcare practice, its presence extends into more spheres such as health. NSFW AI to the rescue: NSFW AI has become a prime tool for hospitals and telemedicine platforms, especially with digital consultations on a rise.
Companies like OpenAI and Microsoft have invested millions into NSFW AI. Even OpenAI spent almost $10 million in 2022 trying to make their content moderation models more accurate and less susceptible to incorrectly flagging things as bad that really aren't. This amount is expected to grow as more and more kinds of dealerships adopt these systems in response to regulatory compliance and customer experience demands.
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