Guest post: We know less about a person than before

Originally a comment by Pliny the in Between on The pedantic version.

In my day job I work with information management and AI systems. A key goal we’re always striving for is improved information content within structured data sets. We only add new elements or classifiers to the language or lexicon structures if they are required to improve differentiation amongst a set of entities that are characterized by some combination of these classifiers. We meticulously avoid adding ambiguous classifiers as these do nothing but reduce the information content of data sets and reduce the precision of the operations that can be performed by the systems.

It seems to me this is similar to the gender/pronoun language problem. All these new categorizations reduce the actual information content of language. We know less about a person than before. And not just one person who makes an issue about it. By insisting on using these new gender classifiers we introduce ambiguity in all descriptions until we get these tortured monikers like people who menstruate rather than saying women. And that’s not even accurate since not all women (or females) menstruate. Should we expect in the future to have to further refine this to, ‘people who could menstruate if they were mature, but not too mature, and not on any medications but not everyday so they may not currently be menstruating’ in order to preserve the information content? Or maybe we can come up with a single term that contains all the same information – maybe something like ‘women’.

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