Deploying NSFW AI (Not Safe For Work artificial intelligence) is not something to be taken lightly and there are several important considerations that need to go right so the system works as intended without breaking any ethical or legal issues. You need NSFW AI to scan this kind of media file which is very important for the platforms from user generated files. Increases the demand for advanced content filtering solutions, given that in 2023 the global AI market inclusive of content moderation tools was expected to be >$62BN
Choosing the Right Model to Deploy NSFW AI This includes selecting pre-trained models or custom training with specific datasets. The main benefit to this approach is that it provides near instant deployability support due the availability of pre-trained models (mainly CNNs). They have trained these models on large datasets which contain millions of images, so it can detect the adult content very accurately (>+90%). For more specific applications, custom training may be needed though. The latter bullet point especially given that you will need a dataset of the exact type of content to practice doing this, which may be done in order to bolster accuracy but takes quite all bit computation time.
Another important variable — the deployment environment. A NSFW AI can be set up on-premises or requested from the cloud, based on your needs in scalability, data privacy and processing power. They can be deployed on a cloud-based infrastructure that is easily scalable and capable of handling large amounts of data (via services like AWS or Azure). The shift to cloud infrastructure continues, with more than 60% of AI deployments being in the cloud (Gartner will release this report later in 2022). Although organizations with strict data privacy rules may find an on-premises deployment preferable because of the deeper control over how your &...
When budgeting for deploying NSFW AI, we can categorise those in 2 categories: Initial set up costs and operational on going expenses. Deploying NSFW AI can cost anywhere between a few thousand dollars for the most naive of models and over $100,000 per instance on complex custom-trained systems that need to run across entire server racks. Continuous costs are related to cloud services, model updates and service maintenance effort. The cost-benefit analysis is crucial to understanding whether the investment and desired results really support your organization´s purposes. Here is where Jeff Bezos captures it the best: “You need to be stubborn on your vision but flexible on your details. To be successful, the deployment must be cost-effective and performance expectations should ideally among those met.
After settling on the right AI model and hooking everything up to deploy it into your existing systems, now you can integrate that NSFW AI. Most of the time, this is done through APIs that link up your AI model to wherever you need it — be it a website, an app or even content management system. The AI should be set to monitor live content, detecting NSFW stuff as it comes in and setting flags or filtering this material out under a specific threshold. It should also be designed with room for a feedback loop as to where content is reviewed by human moderators if flagged and allow the AI grow smarter over time. According to research by MIT, human-AI collaboration can have an increase in accuracy of upto 20% which is key for proving vetted oversight — a critical issue with AI.
Testing and validation It is important to test the NSFW AI for performance. This includes passing the AI through a test suite of cases with different inputs to measure its batting average, false positive rate, and speed. This kind of testing should also be done with both the AI and programs that need to rely on those, in order to make sure they can handle all but impossible situations. In fact, model validation and testing was identified as one of the most challenging aspects of deployment by 56% AI practitioners in a survey conducted by O'Reilly in 2021.
Lastly, Regular monitoring and getting better by n updates at regular intervals help to ensure that NSFW AI can continue performing up-to-date. AI models need to keep up with this evolution of content. Regular updates, retraining with fresh data and monitoring performance metrics helps keep the AI detecting NSFW content accurately but at a minimum false positive rate.
For anyone interested in expanding on how they can use this kind of technologies, take a look at nsfw ai and get access to reliable services that are designed for users unique preferences.