mwalimu

mwalimu , 2 months ago

We demonstrate that political orientation can be predicted from neutral facial images by both humans and algorithms, even when factors like age, gender, and ethnicity are accounted for. This indicates a connection between political leanings and inherent facial characteristics, which are largely beyond an individual’s control. Our findings underscore the urgency for scholars, the public, and policymakers to recognize and address the potential risks of facial recognition technology to personal privacy.

"peer-reviewed" bullshit.

mwalimu , 2 months ago

Findroid/Finamp? Quite robust.

Link: https://github.com/jmshrv/finamp

mwalimu , 3 months ago

Same here. My native langauge is not gendered and I rarely associate “man” in academic spaces with “gender” category. I usually need more info to tilt to gender in discussions.

mwalimu , 3 months ago

Swahili.
If you want to translate “she/he went to the river”, you say “Alienda mtoni” which collapses she/he into the subject A- (Alienda) to mean “the person”.
You always need context to use a gendered word (like mwanamke for woman) otherwise general conversation does not foreground it.
There is literally no word for he/she in Swahili, as far as I know.

mwalimu , 4 months ago

indistinct chatter