Christine Lemmer-Webber 🌀 @cwebber@social.coop
Public

These posts by @0xabad1deaabadidea about machine learning algorithms interpreting her gender wildly despite being *abundantly femme coded* but oh, also, she's a woman in tech, is telling about the way bias-machines are being rolled out and the effects they have generally:

infosec.exchange/@0xabad1dea/1
infosec.exchange/@0xabad1dea/1

(EDIT: Corrected, it was about @0xabad1deaabadidea's friend not @0xabad1deaabadidea, fixed)

a graph labeled “what discord thinks my gender is” where the male, female and nb lines all jump around and overlap constantly, creating useless noise. the graph has been humorously trans-flag colored.

abadidea (@0xabad1dea@infosec.exchange)

Attached: 1 image This is a graph of Discord’s algorithmically inferred gender (extracted from “request your data” json; axes are probability and days) for a user whose display name is “Tiffany”, whose bio is “she/her”, whose pfp is a drawing of a girl and whose profile theme color is pink. Algorithmically inferred gender is worse than useless. Presumably the issue is that she talks about programming, and all the deliberate “I am explicitly telling you I am a girl” signaling in the world can’t convince a computer. I sometimes watch a livecoding streamer whose youtube stats claim his audience is 99% male even though you can see fem-coded chat participants regularly. Algorithms like this are deleting the women

infosec.exchange · Infosec Exchange

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