this post was submitted on 07 Aug 2023
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From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models https://aclanthology.org/2023.acl-long.656.pdf

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[–] [email protected] 3 points 1 year ago

That video really is great.

And you really nailed it. This is why I can't stand the rhetoric of "can't we put politics aside and agree to disagree?" because the answer is "if your ideals are at odds with equality, and you deny the basic human nature, human rights, and civil rights of others, then no. We can't." There's no middle ground between "we want everyone to be happy, healthy, and be able to live comfortably as their true selves" and "these entire groups of people need to be eradicated"/

And bring it back, the "can't we put politics aside" is a symbol of privilege. The "neutrality" or "centrism" that aligns with one's ideals allows them to not have to worry about whether or not you're going to be beaten to death the next time you have to go to the store, or if the police are going to stop you for just walking down the street and murder you because some facial recognition system mis-identified you because no one trained it on Black faces. Or if you've already had a hard time getting a job you want because of who you are, and now capitalists in that field have decided that they're going to just bulldoze the whole thing and give the job to an LLM.