the spouse did an implicit bias training today. the trainers asked the attendees to come up with back stories for people based on 4 pictures of folks of different skin color and implied class (clothing, visible hygiene). spouse, being spouse, thought they were sus and said he didn't think they had backstories because they looked like they were AI generated. trainers admitted they were. spouse then asked what prompts were used to generate the images. trainers were flummoxed. everyone got a training about implicit bias, but not the one they were expecting. I'm so proud.
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a libi rose (rose_alibi@post.lurk.org)'s status on Tuesday, 06-Aug-2024 12:44:53 JST a libi rose -
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Kit Rhett Aultman (roadriverrail@signs.codes)'s status on Tuesday, 06-Aug-2024 12:44:51 JST Kit Rhett Aultman @rose_alibi This reminds me of a mandatory diversity training I had once. This was in San Francisco and I think the trainers had never left the Bay Area. They were trying to do a hypothetical involving someone using outdated sexist language and added that the hypothetical person was from Tennessee. Our brightest, quietest, and kindest engineer repeatedly asked the trainers why. They said "You know, because he's Southern and backward." The engineer was from Alabama. We couldn't believe it.
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Kit Rhett Aultman (roadriverrail@signs.codes)'s status on Wednesday, 07-Aug-2024 00:47:44 JST Kit Rhett Aultman @rose_alibi It is indeed very much that. And a reminder that even in trying to teach about various biases in the workplace, others remain. Classism, ageism, ableism, and regionalism (especially in the US the very much constructed belief that the Southeast is irredeemably backwards and stupid) are incredibility common in diversity training materials.
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a libi rose (rose_alibi@post.lurk.org)'s status on Wednesday, 07-Aug-2024 00:47:46 JST a libi rose @roadriverrail wow. just... wow. for some reason that makes me think of the Patton Oswalt bit about people with good intentions but the wrong vocabulary vs. people with bad intentions who know all the right words
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