- 44% Male/Masculine
- 39% No information
- 18% Female/Feminine
Tech bias even on public domain open contribution datasets. Apparently could use more female contributors.
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- 44% Male/Masculine
- 39% No information
- 18% Female/Feminine
Tech bias even on public domain open contribution datasets. Apparently could use more female contributors.
Yeah that’s pretty bad, wonder what kind of other biases there are as well. Class, dialect etc…