Nothing here is about preventing people from choosing to create models with any particular features, including the uncensored models; there are model evaluation tools and content evaluation tools (the latter intended, with regard for LLMs, to be used for classification of input and/or output, depending on usage scenario.)

Uncensored models being generally more capable increases the need for other means besides internal-to-the-model censorship to assure that models you deploy are not delivering types of content to end users that you don't intend (sure, there are use cases where you may want things to be wide open, but for commercial/government/nonprofit enterprise applications these are fringe exceptions, not the norm), and, even if you weren't using an uncensored models, input classification to enforce use policies has utility.