Sure, but I don’t think an AI model is speech, at least not one trained on billions of parameters and massive quantities of compute. Comparing it to regulated heavy machinery or architecture is apt.
You can’t create an AI model without huge, global industries working together to create the tools to produce said model. And baked in are all sorts of biases that if met with wide-spread adoption could likely have profound social consequences, particularly because these models aren’t easy to make, so the likelihood that they will see large amounts of adoption/use is likely, they are useful tools after all. Group prejudice in these models jumps off the page here, whether race, sex, religion, etc. but black box algorithms are fundamentally dangerous.
Speech is fundamental to the human experience, large ML models are not, and calling them speech is nuts.