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Applications of Analytics

Defining What’s Fair

Category: Deontic Analytics

There is a line of research that proposes that AI can define what’s fair. An early example of this is software designed to optimize the design of congressional voting districts in such a way that minimizes gerrymandering(Cohen-Addad, Klein & Young, 2018). In another study, research suggested that “an AI can simulate an economy millions of times to create fairer tax policy” (Heaven, 2020). A tool developed by researchers at Salesforce “uses reinforcement learning to identify optimal tax policies for a simulated economy.” The idea in this case was to find tax policy that maximized productivity and income equality in a model economy.

Examples and Articles

AI-drawn voting districts could help stamp out gerrymandering
Devin Coldewey@techcrunch / 4:58 PM EDT•September 4, 2020. "Machines enhance and inform intelligent decision-making by helping us navigate the unfathomably large and complex informational landscape. Left to their own devices, humans have shown themselves to be unable to resist the temptation to chart biased paths through that terrain." Direct Link

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Human-centered redistricting automation in the age of AI
"Recent technological advances have enabled new computational redistricting algorithms, deployable on supercomputers, that can explore trillions of possible electoral maps without human intervention." Wendy K. Tam Cho and Bruce E. Cain Science • 4 Sep 2020 • Vol 369, Issue 6508 • pp. 1179-1181 Direct Link

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