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".
No, not its initial application. Though that was some time ago, and the cases in which it false-flags aren't even comparable to its initial implementation. Any learning algorithm comes with a risk, though if it's contained within their product they still can control the outcome.
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If it learns until the cases become manageable (assuming that questionable-ToS violations aren't so flagrant as to be unmanageable) then I would be hard pressed to call it an irresponsible system. In the cases of quick response I think it's a case-by-case thing.
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