According to SPARC (Stalking Prevention, Awareness and Resource Center), more than 7.5 million people in the U.S. experience stalking annually, and there has been an alarming increase in online stalking incidences. Enter NSFW AI tools, which are starting to become available and are using the latest content filter technology and behavioral modeling so nobody loses an account over bad/NSFW interactions. To give an example, machine learning models embedded in these systems can analyze a user’s behavior in real time to spot unwanted behaviors that align with stalking (e.g. sending repeated and unsolicited messages).
OpenAI and other contemporary AI developers have instituted moderation algorithms to prevent them from being able to make inappropriate or invasive queries. They also go on to state these hands-free systems can process millions of interactions in every second with 99% accuracy rates in leading to potential harassment. A recent report from MIT Technology Review was able to show that groups use AI-based moderation to reduce the amount of harmful online interaction by 40% in forums where these tools are adopted [1].
One such application in the real world is Discord’s AI moderation bot that uses NSFW AI–like reasoning to keep prowling hands off its platform. Many users that have been flagged for violations over time follow a similar repetitive pattern; sending messages continuously every couple of seconds to multiple people — one of the most clear signs a person could be stalker.
Additionally, psychologist and author John Suler noted in his book The Psychology of Cyberspace that “positive” digital tools aid in creating boundaries during virtual interactions. NSFW AI models serve as this kind of boundary, preventing users from reaching to inappropriate content or invasive interactions and protecting individuals in environments that make traditional supervision difficult.
Whether these NSFW AI tools are effective depends on their design. Using natural language processing (NLP), these systems identify predatory or abrasive behavior based on patterns in language. How those work: Certain words, phrases or even sentiment behind words (i.e nurturing vs degrading message) can alert the system that intervention is required before things get worse.
Such mechanisms go a long way toward eliminating the potential for stalking, but do they eliminate it all together? That really comes down to how extensive the integration is and whether or not users follow the rules. (In fact, 75% of users felt safer with AI moderation, according to a study by Cyberbullying Research Center), but when the message uses more nuanced phrasing to evade detection (like faux-polite syntax or implied sentiment), there may still be gaps in enforcement.
If you are looking for nsfw ai tools to explore the impact of AI on making our lives safer, we have taken a first step in that direction to make digital spaces away from bad elements. Find out more about this technology nsfw ai.