Sorry (not sorry)
Matt Henry
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Public interest technologist; law knower-abouter; Design system engineer in the US federal government.
Couple observations on seeing this:
1) it’s amazing how much great stuff the federal government still manages to build and do for people despite all efforts to make it do less and do it worse; and
2) we should never have stopped putting plaques on everything to say “hey look at what government can do for you.”
1) it’s amazing how much great stuff the federal government still manages to build and do for people despite all efforts to make it do less and do it worse; and
2) we should never have stopped putting plaques on everything to say “hey look at what government can do for you.”
The whole field of AI is based on using loaded words to imply that software systems are doing more than they're actually doing, but this is so hilariously brazen! Turns out "causal" doesn't actually mean causal.
This scenario should be immediately legible to anyone who’s ever worked on a software project.
From CJ Roberts’s year-end reflection on the state of the federal judiciary. It’s telling that his example of an area where human judgement is superior to AI is one that’s suffused with bias and subjectivity. I think judging sincerity in court is actually an area where AI and human judgment would probably perform similarly well (which is to say: very poorly). https://www.supremecourt.gov/publicinfo/year-end/2023year-endreport.pdf
Too real, man. https://www.todayintabs.com/p/its-giving-tabs
