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by ta20240226 844 days ago
For those trying to make a comparison between this versus what happened with Gemini, the big difference is not bias, but whose bias.

This is reflecting the bias of the source material reflecting a society wide bias. I bet if a human evaluated all the text that the model was trained on, they would probably find that the material itself likely had an anti-Palestinian bias.

The Gemini example, however, did not represent the bias in the source material, but rather the biases of the Google management and engineers.

Reflecting the bias of the source material is unfortunate but understandable. Injecting your own bias on purpose is a different matter, and is assuming a level of control that invites scrutiny.

2 comments

> The Gemini example, however, did not represent the bias in the source material

And that bias was to combat bias from the source material. In other words, you're damned if you do, and damned if you don't.

It almost seems like it's impossible to be without some kind of bias. I think the preferable way forward is to be transparent about your bias. We all have them, one way or another.

What is problematic though, with the AI models, you sort of inherit this ball of mud and it's hard to tell what kind of bias is inherent in it.

Leaving the bias in your training material taint your model is also a choice, a moral and political choice. You say, "I don't care".
I like how you've painted "telling the truth" as some scummy moral failing.
Palestinian childs do not equal terrorists.

And neither the idea that "people associate in their mind Palestinian childs with terrorists" is "the truth", for the loudest, most hateful voices do not speak for all of us.

We're 4 levels deep on a comment specifically about gemini, good try with the dramatic subject change though. You tried to argue that intentionally injecting what you believe to be righteous bias into an LLM is a superior moral position than not doing so and I disagree. Your outrage about Palestinian children doesn't convince me otherwise.