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Very cool. Any interesting uses for this? I want to develop a 'cognitive debiasing' ML system. It will take real time spoken languages and parse it syntactically to output a dibiased version of the input. Let me know if it have any resources or insight on this. Thanks!

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It sounds like you want to be able to generate language with the same basic meaning as the original but without whatever bias was there.

I'd recommend starting by trying to detect the presence of the bias first. Language generation is a very difficult problem in general and this is an especially difficult instance of it. Even detecting bias will be challenging because of how subtle a phenomenon it is, but it's much more tractable than rewriting what was said to not include the detected bias.

By "debiasing" do you mean word sense disambiguation?

Not sure what the technical term is but by debias I meant the ability to detect cognitive biases [1] from real time spoken input and remove them from the output. The goal would be to help humans understand their biased thinking and over time make us less biased in our decision making process.

[1] https://en.m.wikipedia.org/wiki/List_of_cognitive_biases

Good luck!

Thanks! Even if I get could a few smart individuals to put together a 'bias detector' mvp that would be an awesome portfolio project!

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