Utilizing Data and Individual Preferences
In recent years, the state of artificial intelligence has improved immensely and this technology is now being used for adult entertainment (a field often in a sensitive position). With the help of complex algorithms, AI systems can predict down to a T what type of porn each individual will prefer. Those guesses are informed by rigorous analysis of user data and viewing habits.
Analytical Framework for the AI World
At the core of this technology are machine-learning models trained on massive data sets, which might comprise millions of eye and brain movements per day. For example, an AI monitoring one of the most visited porn sites in 2018 could process data points on watched videos - selection played/selected to be pointed, time days viewed etc. Pornhub and xHamster, which claim tens of millions of daily users - though they never say exactly how many that number is but do provide a peek at the vast info they collect on things like what buttons you hit or how long someone spends watching any given video.
Customizing User Experiences
This is a simple aim: to customize UX in order that it results in higher user engagement and satisfaction. The platforms do this by guessing what users will want to view next, and then they can offer videos that are very likely matching with someone's taste sealing them on the page longer. Beyond simply improving user experience, this customization is also a business design to increase site traffic and advertising revenue.
Ethical and Privacy Implications
But the use of it is just as problematic - particularly when considered in terms of ethics and privacy. On a level far more threatening than any GDPR trigger, the invasion of personal sexuality monitoring and analysis. One of the most important there is about where to draw the line between leveraging tech innovation and respecting individual privacy. What it does mean, is that users should be reminded their history of online behavior (particularly on adult sites) forms the datasets used to inform AI predictions.
Better Recommendations via AI
Enhancing content recommendation is one example of a directly applicable result from this technology. AI does not process sheer randomness; it processes patterns and deduces interests, juxtaposing that with other demographics to make predictions. For example, if a user is watching content in any specific genre again and again then AI will suggest even more similar sort of content which may work to introducing new genres about the viewer.
Room for Innovation in the Near Future
In future, the scope of AI in this Industry is massive. We may create interactive experiences, redefining the ways VR users interact with one another in a more predictable and safe environment than today. As the technology evolves, so will the fidelity of these predictions that ultimately results more and better personalized experiences.
The Future Worlds Institute - AI and Porn
Ultimately, it is impressive but must be used with caution given the AI can predict pornographic preferences at an individual level. These positives (personalized experiences, increased engagement) can only be understood against the risks they carry privacy threats and ethical concerns. This problem likely will only get worse as AI increases its footprint in adult entertainment, so it is important for users and providers to address this responsibly.
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