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The Bull and Bear Cases of AI Standards
I think the worst possible scenarios that we make standards that give us too much confidence in these systems by using just a sort of limited set of metrics. I think best case scenario is they encode what we know without being overconfidence and then make it clear the situations in which we don't have enough information to make informed decisions. How that ends up trickling down into each country's regulatory system, that's super context dependent. But at least with with standards like I described, they can't be sort of abused or misused within any sort of countries than regulatory framework.