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Notes -
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.
This does not seem like a surprising outcome, at least not starting from the mental model of
GPT is fundamentally a next-token predictor.
It will make logical and consistent decisions to exactly the extent that making logical and consistent decisions improves its ability to predict the next token, based on its training data.
The training data was a significant fraction of the text on the internet.
The text on the internet was largely written by humans.
Humans make different decisions about whether a comment is hateful based on what group was referenced, not just based on the adjective used.
Thus, GPT is able to make more accurate predictions of the next token by taking into account what group was referenced.
Also something something RLHF.
It might be possible to fine-tune GPT such that is has a lower propensity to "make" those kinds of "judgements" (i.e. output those kinds of tokens), but my expectation is that doing so is a fight against entropy (in an unusually literal sense of the phrase).
Keep in mind, this is the outcome of RLHF, the content moderation system, not unadulterated AI
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