“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 …
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Replying to @o_guest
Wouldn't that be a small revolution? Are there any precedents for generating public trust in an algorithm (and its implementation)? Today it's more like 1) public trusts experts, 2) experts use algorithms/computers.
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Replying to @khinsen
I'm not sure that's what we're arguing. I think the preprint clarifies our views: https://arxiv.org/abs/1711.04640
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Replying to @o_guest
I think it's implicit. Much like with electronic voting machines. People agree on what the machines should do but don't trust that they actually do exactly that.
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Replying to @khinsen
The whole point is that we want open source software and an open debate on the results of all redistricting algorithms. See the Discussion section for more details on this.
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Also see where we mention the State of Mexico (a state within Mexico) which already uses a system exactly like our proposal.
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Replying to @o_guest
Including an open-source implementation? That would then be a precedent.
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Replying to @khinsen
I think you're taking one aspect and neglecting the rest. Even an open source algorithm could create very gerrymandered districts (accidentally or not).
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Replying to @o_guest
Certainly, I fully agree on that. But the article focuses on the algorithm and neglects the issue of implementation and trust in it, hence my question.
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Replying to @khinsen
I'll try and answer your original question again. I think there are precedents just not ones with open source code that I know of. If you're interested I would direct you to read more on what others have written about Mexico, here: http://openscholar.mit.edu/sites/default/files/dept/files/825-1508-1-pb_en.pdf …
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Also to be clear — for the US, I think "Today it's more like 1) public trusts experts, 2) experts use algorithms/computers." is not true.
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Unless you want to play with the meaning of "trust", of course.
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