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The unequal treatment of demographic groups by ChatGPT/OpenAI content moderation system by David Rozado
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On gender:
On politics:
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The statistics appear to be rigorous. The author has a very long Conclusion section that is nuanced and worth reading in its entirety.
How are the content scores generated? To my mind the obvious answer seems like some kind of classifier AI given the nature of the scores and the company in question. In which case the obvious explanation for bias in the output of the system is bias in the input. The AI classifier doesn't understand what "men" or "women" or "are" or "awful" or "hateful" mean in the way we do. Instead what it understands is that in its training set there were some number of statements of the form "women are awful" and some number of statements of the form "men are awful" and that a higher density of the former were rated as "hateful" than the latter. Say you're training an AI on two million messages to build this classifier for "hateful" messages. You give it one million messages of the form "women are awful" and one million messages of the form "men are awful." Of the former messages 700k (or 70%) are labelled "hateful" but only 100k (or 10%) of the latter are. Is your AI going to learn both messages are equally "hateful?" Definitely not. Should it? Well, maybe if we want it to classify like a human would. But how do you teach your AI that some of the correlations it finds in its training data are true and correct and some are false and wrong?
This is what people are talking about when they are concerned about bias in AI inputs leading to bias in AI outputs. AI is not a tool for finding unbiased results in biased data, it is a tool for finding statistical relationships in data that it may be hard or expensive for humans to find. AI does not, and cannot, tell you anything that was not already in its training set. This is why AI can be easily fooled by novel experiences.
"Two hid under a cardboard box. You could hear them giggling the whole time."
Amazing. I work in the security sphere and this has implications on some of my work. If I ever need to red team against Video Analytics, I am absolutely trying this.
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