Thinking more directly about the subject in hand, what if we took their comment text as an example, and input it into a "responsible translation model"? Taking

Thinking more directly about the subject in hand, what if we took their comment text as an example, and input it into a "responsible translation model"? Taking what they wrote as harshly as possible, a translation model's output might include narrative elements from the transphobic judgement you are concerned about. That would be a problem, because it would amplify transphobic narratives. Taking what they wrote as favorably as possible, a translation model's output might rephrase what was written, such that a pro-LGBTQIA+ inclusion narrative is more eloquently expressed than the author actually intended. That would be a problem, because hiding the reality of transphobic narratives would remove our ability to recognize and talk about them. To make this even more complicated, what if we are using this model for real-time dialogue? What happens when someone says something vaguely transphobic, their words get translated to an inclusive narrative, and you continue that inclusive narrative in your reply? Should the translator alter your words to be transphobic? If it doesn't, then will the entire conversation go off the rails, or will both parties continue, oblivious of each others' ideological subtleties? --- I don't believe for a second that a model could be trained to avoid toxic narrative and translate accurately. Hallucination is a feature, not a limitation. The sooner "AI" narratives can accept this reality, the better.