“Our work suggests that a lot of what we view as gerrymandering may instead result from the complexity of the task. It’s beyond human abilities to perfectly group millions of people into fair districts”https://www.seeker.com/tech/an-unbiased-algorithm-could-help-put-an-end-to-partisan-gerrymandering?utm_content=An+Unbiased+Algorithm+Could+Help+Put+an+End+to+Partisan+Gerrymandering&utm_source=twitter&utm_medium=social-media …
A computational algorithm might not have had its trust evaluated under a system of openness (explicit open source checking). But there are many algorithms that aren't explicitly implemented in a programming language that humans trust for political decisions, like voting methods
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or even democracy as a general algorithm itself. Notwithstanding, as
@jamespjh correctly noted trust in the case of our gerrymandering project would be only able to be directly based on the code if you already are highly educated. So I think it's a stretch to assume the public -
at large can evaluate an algorithm without the right training, something which is not expected of them. So yes, it's a political change, but it doesn't require any constitutional/legal change in the US for it to happen so I'm not sure "revolution" is appropriate.
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Indeed, but the execution of human-run algorithms can also be verified by humans. As in recounting. These are well-understood and trusted procedures.
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It's experts/a minority of the whole of the population with special status/trust that do the recounting just like it would be a minority that would be able to verify the code even if everybody could download it.
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Right. But today's network of trust (individuals, institutions, rules) has grown over centuries and is not at all adapted to dealing with trust in machines and software. Little overlap with today's computer-literate communities.
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