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RichFelker's profile
Rich Felker
Rich Felker
Rich Felker
@RichFelker

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Rich Felker

@RichFelker

Yeah, I do @musllibc, FOSS & infosec stuff. But now is not the time for a mostly-/only-tech Twitter feed.

musl-libc.org
Joined March 2014

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    1. Emily G‏Verified account @EmilyGorcenski Oct 11

      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.

      4 replies 15 retweets 135 likes
      Show this thread
    2. Emily G‏Verified account @EmilyGorcenski Oct 11

      “If you are neutral in the face of injustice, you have chosen the side of the oppressor,” as Desmond Tutu summarized. Our discussion about eliminating bias in AI is an aggressive march towards neutrality. Our measure of fairness is a line drawn too early.

      4 replies 36 retweets 165 likes
      Show this thread
    3. Emily G‏Verified account @EmilyGorcenski Oct 11

      Maybe we shouldn’t be trying to eliminate bias in AI. Maybe we should be designing for bias in the favor of the oppressed. Worth thinking about.

      26 replies 62 retweets 267 likes
      Show this thread
    4. Rich Felker‏ @RichFelker Oct 11
      Replying to @EmilyGorcenski

      You can probably frame this in a way less vulnerable to right-wing narratives by doing it in terms of outcome.

      3 replies 0 retweets 1 like
    5. Rich Felker‏ @RichFelker Oct 11
      Replying to @RichFelker @EmilyGorcenski

      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.

      2 replies 0 retweets 4 likes
    6. Rich Felker‏ @RichFelker Oct 11
      Replying to @RichFelker @EmilyGorcenski

      Likewise for %s of other marginalized groups matching or exceeding % in general population.

      3 replies 0 retweets 1 like
    7. Jeff Wilson‏ @jeffwilsontech Oct 11
      Replying to @RichFelker @EmilyGorcenski

      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.

      1 reply 0 retweets 1 like
    8. Rich Felker‏ @RichFelker Oct 11
      Replying to @jeffwilsontech @EmilyGorcenski

      Imagine if votes were weighted proportional to a model of how likely political outcomes could completely destroy your life.

      1 reply 0 retweets 0 likes
      Rich Felker‏ @RichFelker Oct 11
      Replying to @RichFelker @jeffwilsontech @EmilyGorcenski

      By the way, just abolishing the electoral college and the senate would achieve a lot more than your 1.3x weighting.

      10:50 AM - 11 Oct 2018
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Jeff Wilson‏ @jeffwilsontech Oct 11
          Replying to @RichFelker @EmilyGorcenski

          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.

          2 replies 0 retweets 0 likes
        3. Rich Felker‏ @RichFelker Oct 11
          Replying to @jeffwilsontech @EmilyGorcenski

          Stopping gerrymandering would get more than a 1.3x weight boost in the house, too.

          1 reply 0 retweets 0 likes
        4. Jeff Wilson‏ @jeffwilsontech Oct 11
          Replying to @RichFelker @EmilyGorcenski

          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.

          0 replies 0 retweets 0 likes
        5. End of conversation

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