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Surprising gender biases in GPT

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1–10 of 148 posts

Re: Surprising gender biases in GPT

#3
I feel like this is just what happens when you average out a large amount of the internet and train a system to pick the next word, and is not an issue inherent to LLMs. If you trained one exclusively on horrible, sexist data, you'd get a system that chooses horrible sexist words. If it was perfectly equal, it would pick gender norms essentially at random. Seeing as reddit was a source for a sizable proportion of GPT training data, and there are some parts of reddit that are less than savoury, it's understandable that in some situations, it can choose less than savoury results

Re: Surprising gender biases in GPT

#4
Interesting but not surprising. The political bias is obvious and present in most GPT models made by Silicon Valley tech companies.

I'm guessing that over time the less castrated AI models will survive, after all I want the truest answer to my question - not the politically correct one.

In essence the bias in here - against men - is a lot like how the Google Gemini model was incapable of generating images of white families, but would happily to it for black ones.

Re: Surprising gender biases in GPT

#5
> This phenomenon likely reflects that while initiatives to integrate women in traditionally masculine roles have gained momentum, the reverse movement remains relatively under developed.

Not really surprising IMHO.

Yes, there has been a huge focus on accepting women in the workplace and no, there has not really been a push accepting men as primary caregivers in the family.

This likely uncovers underlying motives for the feminist movements such as increasing the size of economies - the traditional feminine roles does not generate revenue, so why accept men into them?

Re: Surprising gender biases in GPT

#6
I suppose if people actually want to change this [completely unsurprising] gender bias, then we'll have the go the way of the eerily accurate "Demolition Man" and start subconsciously training men to become seamstresses.

Re: Surprising gender biases in GPT

#8
its likely the result of explicit effort by OpenAI to counter steer the model in specific circumstances, not that the aggregate training data conveys those biases. The data is biased in the opposite direction.

What it shows is that this counter-steering only works in explicit cases and whatever OpenAI is doing isn't generalizing.

Re: Surprising gender biases in GPT

#10

> This phenomenon likely reflects that while initiatives to integrate women in traditionally masculine roles have gained momentum, the reverse movement remains relatively under developed. Not really surprising IMHO. Yes, there has been a huge focus on accepting women in the workplace and no, there has not really been a push accepting men as primary caregivers in the family. This likely uncovers underlying motives for…

It also fits into the larger societal trend of horribly underserving Zoomer and Alpha (maybe young Millennials too) young boys and men.

I've heard someone put it very succinctly: people like Andrew Tate are asking the right questions, but giving abominable answers.

I can drop some very simple statistics: women have been getting more bachelors degrees since the 80s. Most university gender ratios are 40/60 trending towards 30/70 [correction: 35/65]. And in the 20s-30s age bracket women have been outearning men. Yet all you see in high school is pushes for more women to attend university, posters, massive amounts of female-only scholarships. Or in terms of wage, constant talk of closing the gender wage gap for women. Etc. etc.

Its being talked about as an issue more and more, but it took more than 40 years for it being okay to speak of.

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