In some cases, the question of whether NSFW AI can respect cultural norms is less than clear, as it alters based on how that specific model was trained and a given platform's capacity to let its content rules differ by the regions. In order to fine-tune and apply them, NSFW AI models like GPT-3 or DALL-E are usually trained on large-scale datasets with a size up to 500GB+ of text + images. DISCLAIMER: Some of these datasets are filled with raw online content and may not always consider specific cultural sensitivities. Thus, the AI might create culture-bound content that respect some values violently transgressors another's norms.
Often, developers attempt to address this by adding content moderation services that programmatically filter offensive or culturally unacceptable materials. For example, in 2021 OpenAI made its content moderation policies somewhat more strict and deleted over 35% of AI generated text due to cultural insensitivity concerns. But those filters are far from foolproof. These are likely based on parameters that have been regionalized to a degree so that they may actually overlook key things as per worldwide cultural norms.
It is important to Note that cultural tabs vary from one country to another. For instance, sexually explicit content may be okay in the West (as it is with mainstream media), but could be considered offensive by many more conservative regions such as those found throughout Asia and Middle East. Companies like Crushon. AI walk the tightrope between user interaction and culture preservation. The platform modified its reporting processes in 2022, that has resulted during a 25% reduction within the generation of inappropriate content and explicit more closely to international standards. This, of course, remains as an AI that still has a hard time grasping the complexities within cultural diversity.
Geofencing is a method that some developers use to make sure their puzzles don 't turn into cultural concerns. Platforms can even detect the region a user is from using IP tracking and output their NSFW AI results adjusted for that geographical location. This enables companies to localize even further and tailor content for each market, which also minimizes the chance of cultural faux-pas. But it can get quite expensive to enable this technology — with some platforms spending upwards of $10,000 -to-50,000 a year for these types of capabilities.
This is the case in China, where government regulations are stringent about allowing adult or politically sensitive material to be disseminated. This had a domino effect which led to more stringent policies for platforms using NSFW AI, with companies being fined in 2019 alone for violating such standards. The Wall Street Journal reports in China, such fines for running afoul of cultural norms can soar as high the millions (right up to $1 million). Such penalties are what make platforms vigilant in controlling AI-generated content.
Dealing with cultural norms is not a standalone act that can be filtered through the sieve. When upgrading any NSFW AI system, developers should take a thoughtful approach with ethics in mind and sometimes local law as well. Elon Musk elaborated on the same– “AI has the potential to upend entire industries, and we must work together responsibly so long as global diversity is maintained.” Those words highlight the need to bring cultural knowledge into AI development.
Although NSFW AI continues to advance, several challenges remain with maintaining its appropriateness according different cultural norms. The content moderation systems are getting better, but they're still far from perfect and developers are working to fine-tune these technologies. More information on nsfw ai can by found at: Nsfw AI.