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Is there any efficient way to get names that are likely to be gender-neutral? For example, finding all names where the likelihood of being both male and female is greater than 0.2?
The use case is name anonymization where you want to respect the original gender of the name. For male/female names, this is fairly straightforward. You could query for the top 1,000 male and female names and use them to make substitutions, but if your name is gender-neutral, let's say, "Alex", you might want to anonymize with another gender-neutral name such that you aren't harming the final anonymized dataset by using an incorrectly gendered name.
Thoughts on how to do this?
The text was updated successfully, but these errors were encountered:
Is there any efficient way to get names that are likely to be gender-neutral? For example, finding all names where the likelihood of being both male and female is greater than 0.2?
The use case is name anonymization where you want to respect the original gender of the name. For male/female names, this is fairly straightforward. You could query for the top 1,000 male and female names and use them to make substitutions, but if your name is gender-neutral, let's say, "Alex", you might want to anonymize with another gender-neutral name such that you aren't harming the final anonymized dataset by using an incorrectly gendered name.
Thoughts on how to do this?
The text was updated successfully, but these errors were encountered: