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this post was submitted on 16 May 2025
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In a (code) perfect world, wouldn't an LLMs "personality" and biases be aligned with the median of its training set?
In other words....stupid-in/stupid-out. As long as the (median of) input data is racist and sexist, the output data would be equally bigoted.
That's not to say that the average person is openly bigoted, but the open bigots are pretty damn loud.
I do think the average person openly perpetuates racist stereotypes due to the pressure of systemic racism. Not that they intend to, and their beliefs frequently contradict their actions because they just don't notice that they are going along with it.
Like the average person will talk about the 'bad part of town' in a way that implies the bad part is due to being where 'those people' live.
I don't disagree, but that's probably closer to implicit bias than overt bigotry. When people talk about the "bad part of town", often it's the "bad part" as a result of perpetual systemic racism, and the concerns of going there is more rooted in personal safety (or at least the perception of it). And sure, that feeds into it, but it's really more of a cycle or a feedback loop.
And there's also the anxiety of being the cultural and demographic opposite of everyone around you. That's gotta be some sub-type of agoraphobia or something.
Sure, probably, "implicit bias" is just a PC way of saying "racist-ish", but it is at least a start. It's very difficult to retrain behaviors that have been learned since birth, if not hypnopaedically earlier.