@OpenSexism not a fan of AI, but this double standard is way too common. A woman will get punished for doing the exact same thing that would make a man be praised.

"The study found that women who submit resumes created with AI assistance are evaluated as less competent and less trustworthy than men who submit identical AI-assisted resumes. To the evaluators, women’s AI use signaled inability, while men’s AI use signaled initiative."

https://www.forbes.com/sites/michelletravis/2026/06/25/women-who-use-ai-seen-as-incompetent-men-who-use-ai-seen-as-pragmatic/

"Somewhere along the way, a defense against advocacy hardened into a reflex against repair. “Righting great wrongs” became an accusation, a way to dismiss editors who noticed that our coverage of women scientists was bleak, that colonial history read like it was written by the colonizers, that entire regions appeared mainly as backdrops to Western events. The phrase meant to stop activists was being used to stop archivists"
#wikipedia

https://medium.com/regarding-wikipedia/wikipedia-and-the-crisis-of-knowledge-equity-e22e7cb27792

It's an old song
It's an old tale from way back when
And we're gonna sing it again

https://medium.com/regarding-wikipedia/wikipedia-and-the-crisis-of-knowledge-equity-e22e7cb27792 #Wikipedia

"By analyzing when the #Wikipedia pages were created, the team found that men biologists were more likely to have biographies until 2018. Between 2019 and 2021, women and men had similar chances. Then, in 2022 the pattern reversed and women were more likely to have a Wikipedia page than men."

https://www.science.org/content/article/wikipedia-s-gender-gap-has-flipped-one-group-scientists

RE: https://mastodon.world/@OpenSexism/116579279905063470

I'd guess predictable dynamics -also- simply because men tend to listen to men much more exclusively…and the hype is almost always championed by people MEN tend to overly trust (and those would be: highly amplified dudes, no matter how obviously un insightful they are- I mean: Trump, anyone?)

…Additionally each successful iteration is disguised enough…AND very few of the "marks" (whether gold miners, gambling advocates, or AI guys) even realize they have biases that make them vulnerable.

@OpenSexism anyone have a gift link? If that's a thing for Wired

"What’s happening in Bay Area households isn’t just a lifestyle story. It’s a labor market story. The AI boom, Rodgers says, is creating a “perfect storm” of forces reshaping household dynamics, playing out along predictably gendered lines."

https://www.wired.com/story/meet-the-sad-wives-of-ai/

"Learning to recognize how a biography reduces a woman to being “the wife of” or “the daughter of,” the editors explain, is part of their work. “Language speaks volumes, and simply including women isn’t enough,” says the founder. “How you include them is fundamental. If you don’t follow up and carefully consider your approach, you perpetuate stereotypes.” #Wikipedia

https://english.elpais.com/technology/2026-04-20/a-room-of-ones-own-on-wikipedia-the-editors-who-have-been-doing-justice-to-women-on-the-internet-for-over-a-decade.html

"Women were more than three times as likely as men to face career development bias, task selection bias, and an unwelcoming environment. In parallel, individuals from marginalized ethnic backgrounds were disproportionately targeted by identity attacks. Our analysis also confirms that, beyond gender and race, factors such as age, years of experience, organization size, and geographic location are significant predictors of bias victimization."

https://arxiv.org/abs/2601.21259

RE: https://scholar.social/@olivia/116311635914645389

> The controversy associated with the statement “Ada Lovelace was the first computer programmer” reveals more about modern attitudes towards women [than her] achievements. [Her 1843 algorithm] was so advanced, that it was still utilised in record-breaking computation of Bernoulli numbers in 2008.

https://blue-stocking.org.uk/2024/06/14/ada-lovelace-the-first-computer-programmer/

"Gender and intersectional bias in featured biographies on the front page of the Italian edition of Wikipedia, 2014–2024" https://t.co/M0FpTZWNT1
"extreme and persistent gender imbalance [...] gaps peak in the Middle Ages (7.84:1) and remain high in contemporary figures (5.74:1)"

via https://twitter.com/WikiResearch/status/2040697715479441714

Angle original pour une fois d'un article de recherche sur le biais de genre & Wikipédia : les biographies en page d'accueil (pas que l'article du jour). Il n'y aurait que 14 % de femmes mentionnées sur la page d'accueil de la Wikipédia en italien entre 2014 et 2024. https://doi.org/10.1108/DLP-11-2025-0265

via @wikiresearch

#Wikipedia #BiaisDeGenre

"Men overwhelmingly dominate across all periods, professions, countries and identity categories, while non-binary and trans identities are almost completely absent. Recency bias further amplifies the visibility of contemporary male figures, leaving women – especially historical women – largely invisible."

https://www.emerald.com/dlp/article/doi/10.1108/DLP-11-2025-0265/1352756

"Two of the officers targeted by Mr. Hegseth are Black and two are women on a promotion list that consists of about three dozen officers, most of whom are white men, senior military officials said."

https://www.nytimes.com/2026/03/27/us/hegseth-promotion-list.html

"Women lost a larger chunk of their grant funds than men — on average women had 57.9% of their grant terminated, while men had 48.2%. Among doctoral students and assistant professors, 60% of terminated grants were led by women. (Men made up the majority of postdoctoral fellows, associate professors, and full professors whose grants were cancelled). "

https://www.statnews.com/2026/03/23/nih-cuts-who-lost-funding-women-blacks-young-researchers/

"There are plenty of girls and women, but they are perched on knees or standing close; never around a dinner table, discussing ideas."

https://newlinesmag.com/argument/the-academic-justification-for-male-supremacy/

"Although these technologies are reflecting the gender biases in society, they are also reflecting the lack of diversity in the design teams. There is a dearth of women in the technology and computer programming sectors, which face a “leaky pipeline” whereby women who enter these domains are less likely to reach a position where they have influence and decision-making powers."

https://blogs.lse.ac.uk/businessreview/2026/03/09/ais-are-designed-and-trained-by-men-to-be-sexist-towards-women/

"Around 80 percent of deep-tech companies are founded by all-male teams, which receive nearly 90 percent of venture funding."

"The central conclusion of the study is clear: Europe does not lack women innovators — it lacks the systems needed to measure, fund and scale them consistently."

https://www.politico.eu/sponsored-content/measuring-the-deep-tech-gender-gap/

Hi folks, I'm trying to put together a list of AI-generated-contribution policies for different open source projects. Do you have any you can link to me here?

You can also directly submit a PR to
https://github.com/melissawm/open-source-ai-contribution-policies

Boosts appreciated!