Same question, same answer. The scientific process goes Hypothesis -> Theory. A Hypothesis is the supposition, a Theory is the explanation of something based on the observable data at hand. The things scientists use to describe replicable "fact".
I think that the algorithm can't be blamed until it can, if that makes sense. If there's no way to reach the human who is supposed to be responsible for correcting it, then the algorithm they made and put faith in is at fault for not adapting properly to their designs.
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I think enough to finally cause measurable outrage, as what happened with YouTube. Correction was made early on in response to that, and again later with Self-Certification being implemented. If the problems persist in this more confined space years from now, perhaps AI is bust.
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