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
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
I guess shoving an encyclopedia into it. I’m not sure really, it is a good point. Perhaps AI bias is as inevitable as human bias…
Despite what you might assume, an encyclopedia wouldn’t be free from bias. It might not be as biased as, say, getting your training data from a dump of 4chan, but it’d absolutely still have bias. As an on-the-nose example, think about the definition of homosexuality; training on an older encyclopedia would mean the AI now thinks homosexuality is a crime.
And imagine how badly most encyclopedias would reflect on languages and cultures other than the one that made them.