One way to dodge this and other issues related to depiction of human bodies is to trim the dataset such that humans are not generally recognizable as realistic

One way to dodge this and other issues related to depiction of human bodies is to trim the dataset such that humans are not generally recognizable as realistic humans in the output. It is also currently explicitly forbidden by OpenAI to share publicly realistic images of human faces generated by DE2. Via LessWrong.com: [1] >"One place where DE2 clearly falls down is in generating people. I generated an image for [four people playing poker in a dark room, with the table brightly lit by an ornate chandelier], and people didn't look human -- more like the typical GAN-style images where you can see the concept but the details are all wrong. >Update: image removed because the guidelines specifically call out not sharing realistic human faces. >Anything involving people, small defined objects, and so on, looks much more like the previous systems in this area. You can tell that it has all the concepts, but can't translate them into something realistic. >This could be deliberate, for safety reasons -- realistic images of people are much more open to abuse than other things. Porn, deep fakes, violence, and so on are much more worrisome with people. They also mentioned that they scrubbed out lots of bad stuff from the training data; possibly one way they did that was removing most images with people. >Things look much better with animals, and better again with an artistic style." [1]: https://www.lesswrong.com/posts/r99tazGiLgzqFX7ka/playing-with-dall-e-2 https://www.lesswrong.com/posts/r99tazGiLgzqFX7ka/playing-wi...