> No, it's much more difficult to ban all pornography than it is to ban only child porn. One requires analyzing the content of photos and the other doesn't.
Since it's easier to spot pornography in general than differentiate between very disturbing types of pornography, the work load is lessened and overall less stressful. Not to mention the amount of work ai could automate. That's your point, right?
> Since it's easier to spot pornography in general than differentiate between very disturbing types of pornography, the work load is lessened and overall less stressful. Not to mention the amount of work ai could automate. That's your point, right?
No, detecting child pornography by matching photos to known datasets and then extrapolating rings dedicated to sharing child porn from the social graph is already a solved problem. NCMEC already provides the tools to do this. You don't need to do any image analysis.
There are no effective tools for detecting porn more generally. That's a much harder problem.
According to [1] a Tumblr spokesperson said "we work collaboratively with [...] partners like NCMEC to actively monitor content uploaded to the platform. Every image uploaded to Tumblr is scanned against an industry database of known child sexual abuse material, and images that are detected never reach the platform."
Evidently that wasn't sufficient to stop Apple removing them from the App Store, though.
Since it's easier to spot pornography in general than differentiate between very disturbing types of pornography, the work load is lessened and overall less stressful. Not to mention the amount of work ai could automate. That's your point, right?