While these NSFW AI systems are useful for content moderation, they can hide radical costs. While the initial development and deployment of these systems can be significant, with companies like Facebook spending over $13 billion on AI technologies in 2023. This sum covers costs tied to finding, developing and rolling out advanced algorithms for identifying adult content.
Another major factor is the operational costs. Even the most sophisticated platform requires continuous intervention and management by in house experts, which can cost up to $2 million annually. Google spends around $3-million per year on its algorithms for moderating and improving content, with that number being used to update them with new types of explicit material as well as trends (or emerging styles) employed in such manner.
There are also substantial hidden costs in training these AI models. At $1.5 million for high-quality, compliant data labeling and annotation of this size it requires an extensive dataset to be viable as a service offering. The procedure demands millions of images being labeled by human annotators, for which physically intensive nature increases the total price further.
In Addition, The Invisible Costs Also Lead To Errors And IncorrectnessOutputs This is what was widely claimed in 2022 when Twitter admitted that their AI has an error rate of under-a-fifth, misclassifying explicit content leading to its associated legal and complaint costs — not just the extra layer in human moderation. These errors have a big financial impact, as companies can face heavy fines and the loss of reputation. In 2021, an AI at a news organization failed to properly filter out explicit content and the media company got slapped with a $5 million fine.
Human aspects also contribute to the hidden costs As a substantial amount of moderation on Facebook falls to AI, there still needs to be human eyes reviewing symbolically flagged content. This entails continuous costs for recruiting and educating staff, which ultimately is part of the price involved in maintaining a working moderation system. Companies typically spend approximately half a million dollars per year on human moderators to supplement their AI systems.
There are even further hidden costs for legal and compliance. They should comply with harsh and very legal-to-very-bottom content moderation rules by many laws they will have to obey, causing that even such a company would pay/lost a lot on compliance. A digital services law from the European Union would also subject platforms to steep fines unless they moderate content effectively, a cost that gets added on top of any expense required to maintain NSFW AI systems.
Ultimately, without going through the expense of evaluating each one individually in terms of development costs and latency, NSFW AI systems provide more value than they require for content moderation. The cumulative cost of all this contributes to the overall expense required in implementing and managing effective NSFW AI solutions. As a result, these tradeoffs of nsfw ai technologies must be carefully optimized to deliver the best possible performance.
