Welcome to the club… the policy rules annoy a lot of users, but not because they block the wrong things, rather because they are dysfunctional.
For example, you can’t use words like “snow white” because they trigger a block.
Recently, you couldn’t even create pictures of flowers. As far as I know, people at OpenAI are working on fixing the problem.
When it comes to people, the system is not only overly sensitive and reactive, but it was also overtrained with the preferences of many users. This means that certain types are more frequently included in the training, and they end up dominating the results. In general, DALL·E still produces photo-model types. This effect isn’t limited to people, but it’s especially noticeable there. When I saw the effect of overtraining, I called it the “template effect,” because it always delivers the same stereotypical results, even with motifs like, for example, the moon. It’s noticeable that the same ugly moon keeps appearing.
The systems are not perfect yet, and it seems that the developers still don’t exactly know how to train them properly.
If you’re interested, here’s a whole list of weaknesses I’ve found, with some solutions described: