AI is already in the redistricting fight. Just don’t ask it to draw the perfect map
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- 1 min read
TIME — Much like generative AI models such as ChatGPT or Claude are trained on countless texts from the Internet, the algorithms used for analyzing congressional maps are trained on millions of randomly generated maps through a complex sampling process.
The A.I. algorithm can then come back with analysis of how a map passed by a state legislature compared to the universe of possible options.
The algorithm’s role in the redistricting fight could be pivotal, as courts race to rule on disputed maps, often within a limited timeframe.
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