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I see lots and lots of that distraction. Every time one of you talks about LLMs, DALL-E etc as "a step towards AGI" or "reasoning" or "maybe slightly conscious" you are setting up a context in which people are led to believe that "AIs" are here that can "make decisions".
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And then meanwhile OpenAI/Cohere/AI2 put out a weak-sauce "best practices" document which proclaims "represent diverse voices" as a key principle ... without any evidence of engaging with the work of the Black women scholars leading this field.
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Without actually being in conversation (or better, if you could build those connections, in community) with the voices you said "we should represent" but then ignore/erase/avoid, you can't possibly see the things that the "gee-whiz look AGI!" discourse is distracting from.
On this 2-year anniversary of the Ida B. Wells Just Data Lab, I’m happy to share some of the work coming out of the #IdaLab. Before I do, lemme say: NONE of this would be possible w/o the digital stewardship of @CierraRobson, associate director extraordinaire!
This semester one of the #IdaLab teams led by @PrincetonCITP emerging scholar, Kenia Hale, and rising @PrincetonAAS senior, Payton Croskey, focused on liberatory technologies. 
The Liberatory Technology team created a GitHub repository (which they hope you will use!) that grew out of the research question: “how do people protect themselves from the state while also dancing in the sun?”
github.com/kenia-hale/Lib…
github.com/kenia-hale/Lib…
