Having spent a lot of time over the past several years thinking about and studying ethics in technology, the more I am convinced that the discussions about ethics in technology have a major, irreconcilable blind spot.
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For example the hiring AI is not unbiased/fair just bc it stops downranking women's applications. It's only fair when the outcome is ~50-50 employment in each subset/dept with sufficient sample size & equal pay.
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Likewise for %s of other marginalized groups matching or exceeding % in general population.
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It's an interesting thought. I've often thought that one way we could turn the political system in favor of PoC and women is simply to make their votes count for 1.3x my vote. It's not elegant but you could weight the input and the output would change for the better.
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Imagine if votes were weighted proportional to a model of how likely political outcomes could completely destroy your life.
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By the way, just abolishing the electoral college and the senate would achieve a lot more than your 1.3x weighting.
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That's as unrealistic as weighting votes for targeted groups though. The system as it stands produces illegitimate outcomes. Least costly way to go forward is DC, Puerto Rico statehood and maybe break California up into smaller states.
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Stopping gerrymandering would get more than a 1.3x weight boost in the house, too.
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Circling back to Amazon, if Amazon's values are to hire more women & PoC why don't they bias their system to that? The recent Apollo breach showed how much rich data there is on public. Match the resumes to ad tech dB like that and select for targeted groups. Until debt is paid.
End of conversation
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You clearly couldn’t pass an ideological Turing test if you think your suggestion is less vulnerable to right wing critique, you don’t know what rightist thinking is
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Yeah this is my first thought, the right-wing is very adept at coopting the language of the left. Thus all the talk about Christians being the real oppressed religion, or conservatives talking about "regional and religious diversity" over race, etc.
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