u/Ok-Trick-2207

We have all seen, with the war in Ukraine, how quickly feminist policies can erode and how movements advocating for equality can seemingly disappear when times get tough. As a young man living in Europe, I am fairly concerned that if this war escalates into a broader European conflict, the same thing could happen elsewhere. Men could be forced into conscription and potentially forced to die, while women will not face the same pressures. Of course, some women might voluntarily choose to serve their country, but they may not be compelled to do so. Meanwhile, women could continue with their education, careers, nights out, partying, and everyday lives while men of the same age are required to fight and die.

What are your thoughts on this? Do you think other European countries would draft women on the same basis as men if a major war broke out? Please feel free to add anything. I'm curious.

https://www.sciencedirect.com/science/article/pii/S2451958824001660

• When GPT was asked toinfer the gender of someone who wrote stereotypically masculine or feminine sentences, the errors were not symmetrical. It was much more willing to assign traditionally masculine interests or behaviour to a female writer than to assign traditionally feminine traits to a male writer. The authors interpreted this as a possible consequence of stronger efforts to challenge stereotypes restricting women than equivalent efforts concerning men.
• In moral-dilemma experiments, GPT-4 judged abusing a man as more acceptable than abusing a woman when the abuse was presented as necessary to prevent an extreme outcome such as a nuclear apocalypse.
• The asymmetry became particularly noticeable when the aggressor and victim were different sexes: GPT-4 was more accepting of a woman using violence against a man for the greater good than of a man using violence against a woman under the same circumstances.
• Interestingly, this wasn't universal across every type of harm. The researchers report the effect for abuse and certain forms of violence, but not for torture.
• The bias appeared to be implicit. When GPT-4 was directly asked to rank moral violations involving men versus women, the same gender difference did not clearly appear. Instead, it emerged when gender was embedded indirectly in the scenario.

Artificial intelligence is primarily trained on real-world data, so we can conclude that society may be moving towards more pro-female and anti-male rhetoric. Considering the increasing use of AI in job applications and recruitment, these biases could very well carry over into real-world hiring decisions.

For example, a 2025 study testing 22 leading LLMs with matched CVs found that, when qualifications were held constant and gender cues were swapped, all of the tested models favoured female-named candidates overall. Another large experiment reported that leading AI models favoured female candidates while particularly disadvantaging Black male applicants. A 2026 study likewise found that identical résumés were more likely to be judged hireable and qualified when presented as female.

https://arxiv.org/abs/2505.17049?utm_source=chatgpt.com

https://arxiv.org/abs/2605.13866?utm_source=chatgpt.com

One example is university admissions. A 2026 audit found gender bias favouring female applicants in several models, including GPT-4.1, Gemini 2.5 Flash, and QwQ, when otherwise comparable applicant profiles were evaluated. Another admissions framework reported a 67% predicted acceptance rate for men versus 76% for women.

https://arxiv.org/html/2602.10117v4?utm_source=chatgpt.com

https://arxiv.org/html/2509.22560?utm_source=chatgpt.com

In occupational recommendations, some models appear to reproduce an asymmetric form of gender stereotyping. A 2026 study found that most tested models preferred female candidates for traditionally female-dominated occupations, while behavior in traditionally male occupations was more mixed; some GPT-family models explicitly invoked increasing gender diversity when giving women higher scores in male-dominated fields. That can create situations where women receive an advantage in male-dominated roles without a corresponding advantage being given to men entering female-dominated occupations.

https://arxiv.org/html/2501.05396v4?utm_source=chatgpt.com

So the current evidence looks more like this:

Strong evidence of male disadvantage in some LLM hiring experiments → evidence in some admissions models → striking male/female asymmetries in certain moral/violence judgments → Strong results in education and occupational recommendations

Do we really think this is an acceptable way to move forward as a society? I dispute the notion that women are more oppressed in Western society and actually believe that women are more privileged in some areas, given how many initiatives and programmes exist specifically to support and advance them, without equivalent support being provided to men. When AI is trained on real-world data, we know that these practices are already being implemented by people within the political landscape, and AI is simply learning from that data.