allison on Nostr: i think the issue is that i tend to think of those criteria as categorical, not as ...

i think the issue is that i tend to think of those criteria as categorical, not as shades of gray. like i only see value in an ML model if its training data is documented, fully understood, and gathered with consent, full stop—just inching away from "plagiarism machine" doesn't help. likewise, i have no use for a "more accurate" statistical model—I only see value in a model if i can fully understand and contextualize its predictions