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by Tomte
2242 days ago
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Google translates it that way because German nouns have grammatical gender, and doctors are grammatically male, while nurses are grammatically female. It has nothing to do with training ML models (except insofar as most training input is grammatically correct). Of course, some people are unhappy about it and experimenting with gender stars and gender gaps and other creative orthography, but this is the status quo. It's quite strange to demand that some ML model is more "progressive" than society and speakers themselves. |
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And it's not strange at all to demand of an automated system that it behaves exactly the way we want it to behave. It is not human, it has to be more precise because it is rolled out at scale and it needs to do what we tell it to do. When we use industrial machinery in manufacturing we don't go "ah well humans are only precise down to a centimetre, guess we'll let it slide". An automated car trained on speeding drivers must not learn to speed. Automated systems are faster than humans, so errors compound, which requires more precision on part of a machine. If a ML system accidentally learns that ignoring someone wearing a green shirt is okay, and that is rolled out to a million cars, you don't have an accident but a big disaster.
We need a way to interface with ML systems in ways that let us put precise limits on when it makes inferences from data, why it made those inferences and when to follow logical rules, and when to dispose of certain data.