Personal data stolen; privacy fears could be real but how and to what extent the AI will or should comply with anything received over it is also a very scary thought. A significant problem arises from the huge volumes of data these systems need to function. In order for AI to create more precise and customized responses, a lot of data is often gathered that includes user preferences or history in conversation from behavioural patterns. While this data is used to drive the AI and make its operation more efficient, it still has significant privacy implications especially with some systems gathering millions of interactions on a daily basis.
In some cases, such as the 2020 OnlyFans leak of user data (that happened in January), this has also been accompanied by incidents defined as privacy breaches / that have indeed opened up a whole new can-of-worm downstream. The incident underscores the dangers of even well-established organizations being a soft target if they do not have strong cybersecurity practices in place. However, if their services are not secure enough they can be hacked to access large datasets including the user-generated content such as explicit videos and personal conversations. As a result, companies are spending more than 20% of their budgets on complex encryption and security to secure against these vulnerabilities — but it seems the threat is here to stay.
Another idea to hold up with doubt is data anonymity. Many NSFW AI solutions say they anonymize users' data, but even so it's been shown that around 87% of the participants in a study could have their cheeky behaviour re-identified. Even if we scrub all PII, that doesn't mean the data can not be linked back to an individual user – and our targeted social media campaigns only amplify this fact.
Naked Truth: Earlier this year, it was revealed that NSFW AI data from the platforms could be shared with third-party advertisers in an entirely new privacy nightmare for 2021. This makes it lucrative for companies to sell user data and enables advertisers designing their campaigns based on the behavior insights through AI interactions. This helps make ads more targeted that can lift conversion rates by as much as 30%, while also stirring a great deal of questions about the ethics surrounding this use — and users are not always cognizant their data is being used.
Analyzing sensitive contentOne more thing directly related to user privacy is the ability of AI to analyze some kind of "sensitive" content. Take NSFW AI chat systems for instance, which are trained to find and report misbehaving players in real time based on their exchanges. The line is thin between creating a safer industry and safeguarding individual privacy. The use in monitoring expressions of confirmed facts makes a lot more sense, but as platforms like ChatGPT and others continue to ban people based on these conversations alone, it leaves users with an uncomfortable feeling that their private chat rooms are always being watched by the great eye above.
While injunctions like GDPR (General Data Protection Regulation) in Europe enforce companies to treat personal data with respect, this is not bread and butter everywhere. A failure to meet the standard of transparency will be subject to penalties as high as €20 million or 4% of global annual turnover — a strong deterrent but with seeds for avoidance rooted within almost all jurisdictions. Privacy advocates in an increasing body of thought have been asking for regulations that are specifically geared towards AI-driven platforms, as affirming previous laws do not provide enough coverage on addressing the risks related solely to privacy these systems pose.
With NSFW AI chat in higher demand, securing user privacy could only be more necessary down the line. Find out more about how these platforms are changing with the progress of AI at nsfw ai chat, where improvements in Artificial Intelligence technology strive to strike a balance between innovation and user safety.