Sema > Recent Status Updates

Controversial. Labor agg Data full of gaps.
Most farm work considered field work, so figures miss rearing small animals, etc., and part time agriculture work.
Fuel work made harder by eco friendly materials, making women less likely to adopt clean tech and thus more likely to have negative health and environmental outcomes.

Plough hypothesis: men’s upper body strength 40-60% higher than women’s. More able to operate the plough or control the animal doing so. Not really trainable, including grip strength. Where plough is used, men dominated agriculture. Non-plough work is “stoppable” and thus more conducive to family roles.

Weird impact of unions, and almost no data on sex, so no global figures on women in precarious work. Even though in some studies, women make up 50-60% of this group. Part time and low skill work.
Means we also miss sexual violence in the work place

Higgins effect: Continue to rely on studies of men in work for humanity as a whole. Would take a generation of workforce to get to the same amount of knowledge.

Even orchestral players. Blind auditions.
Belief in your own objectivity makes you more subjective

Office temperature - metabolic rate, 5* colder than men on average.
Female overalls in coast guard, and ppe sizes/regulations…

Women more than 2x more likely to be carers. I wonder how this would look if we just looked at US. Mostly unpaid labor takes up a lot of space in the day.
Long work hours bad for health. Long hours bias because women definitely do it. Except their long hours aren’t recognized in promotion roles.
Allowable work expenses - primarily prioritize those things that help men.

Equal floor space doesn’t mean equal availability. Women use cubicles so half the number of people can use the rest room at the same time than male urinal spaces. And women take a bit longer to use the restroom, so everything is slow.
Countries in poverty also struggle where women “can go anywhere” but women require privacy or specific places to go.

Making gender neutral bathrooms, but including label of urinal, made it geared toward men. Despite equal use of the gender neutral with cubicles
Male biased design

Men more likely to drive, but women more likely to drive-chain
(Sweden swapped the order of snow clearing)
Not including women in planning was an attention gap - tend to focus on peak hours, and employment travel, most often male travel planning - not intentional ignoring of women

Whiteness and maleness are not seen as an identity, because they are and historaically have been universal. So we only notice identity politics on those we have to call out, because their erasure is what made whiteness and maleness universal to begin with.

What is male is universal. What is female is niche.
We call the 1800s the enlightenment when truly it was only enlightening for men. Women had their powers and rights eliminated. We call ancient Greece, the pillar of democracy, when it really only applied to men and women were erased.

Just me tasks
Unclear I’d subject or able to be coy righted

Theory of mind.

1. Decide the level of gov trust
2. Become the human in the loop (make you happy rather than be accurate)
3. Treat AI as a person but tell it what kind of human it is
4. Assume it’s the worst AI you’ll ever use

Gen AI biases are more subtle because they are trained to avoid overt language of bias. But then it’s sec gets blamed instead of company.
RHLF process constrains the AI to behave as most humans would and be more left leaning and appropriate. Can still manipulate it to act badly.

It would be a noble way to fail

Wha, if viewed objectively, would make you seem crazy? Poor Miller.