> When she moved over to AI, though, it was immediately clear that there was something very wrong. “There were no Black people — literally no Black people,” says Gebru, who was born and raised in Ethiopia.
Is that the problem with AI?
> Fast-forward two years and LLMs are everywhere — they’re writing term papers for college students and recipes for home chefs. A few publishers are using them to replace the words of human journalists. At least one chatbot told a reporter to leave his wife. We’re all worried they’re coming for our jobs.
That sounds like a different, and more universal, problem.
An entire hugely important potentially world changing field not having representation from a huge swath of the population certainly seems problematic. That lack of representation combined with the bias present in the training data is a universal problem. And in terms of the second part; the problems with such widespread usage are many fold, with detrimental bias and lack of representation as one of the many folds.
The upshot of all of this is that the people who hired these women are now far behind those who didn't.
These people are bad for your organization if you want to make things for humanity. Best to ensure you never hire them, but if you fire them quickly that's all right too.
The reality is that making the tool was far more beneficial to people (including those underrepresented) than to wait till the tool represented all.
rayiner|2 years ago
Is that the problem with AI?
> Fast-forward two years and LLMs are everywhere — they’re writing term papers for college students and recipes for home chefs. A few publishers are using them to replace the words of human journalists. At least one chatbot told a reporter to leave his wife. We’re all worried they’re coming for our jobs.
That sounds like a different, and more universal, problem.
wackycat|2 years ago
_3u10|2 years ago
renewiltord|2 years ago
These people are bad for your organization if you want to make things for humanity. Best to ensure you never hire them, but if you fire them quickly that's all right too.
The reality is that making the tool was far more beneficial to people (including those underrepresented) than to wait till the tool represented all.