1/ There has never been a more concentrated distillation of my teaching than this lesson: Algos, Bias, Due Process, & You.
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14/ Since we had just made use of a tool that purported to make predictions with some level of confidence, I suggested we might want to look more into what such tools are really telling us. So, I asked them the following.
@Colarusso ok, but: what’s the correct answer?
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@Colarusso ok, but: what’s the correct answer?
@blogdiva D, there isn't enough information/no way to know given just the info in the question. You need to know how prevalent the thing you're testing for is before you can venture a guess. See e.g., https://bail-risk-simulator-50382557550.us-west1.run.app/
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1/ There has never been a more concentrated distillation of my teaching than this lesson: Algos, Bias, Due Process, & You. It is the apotheosis of what I do. I very much hope you enjoy it, share it, and make bits of it your own. https://suffolklitlab.org/algos-bias-due-process-you/
I agree, the design and work you put into putting this together is incredible! Thanks so much for sharing.
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@blogdiva D, there isn't enough information/no way to know given just the info in the question. You need to know how prevalent the thing you're testing for is before you can venture a guess. See e.g., https://bail-risk-simulator-50382557550.us-west1.run.app/
@Colarusso have already bookmarked everything for studying. thank you!
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@Colarusso have already bookmarked everything for studying. thank you!
@blogdiva if you want just one bookmark, this blog post puts it all in one place (and even adds a bit) https://suffolklitlab.org/algos-bias-due-process-you/
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I agree, the design and work you put into putting this together is incredible! Thanks so much for sharing.
@stepheneb thank you. It was almost as much work as it was fun to put together. A bunch of things just clicked.
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18/ It (https://fairness-simulator-the-toilet-seat-dilemma-50382557550.us-west1.run.app/) lets you simulate what happens when folks following different rules share a toilet. It assumes 2 populations, "sitters" & "standers" (folks who sometimes stand). It lets you see how different behavior effects 2 costs:
(1) the cost of having to change the seat's position before you use the toilet; and
(2) the cost of having to clean the seat if the last person failed to raise the seat when really they should have.
@Colarusso
Having both the lid and the seat always down levels the cost for sitters and standers AND is more hygienic -
R relay@relay.infosec.exchange shared this topic
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33/End
Thank you for making it all the way to the end. I'm pretty sure this is the longest thread I've ever written. If you came in halfway through & thought, "this should have been a blog post," I agree, and here it is: https://suffolklitlab.org/algos-bias-due-process-you/
@Colarusso
Oh, man! You are a rock star of a prof. Wow! -
@Colarusso
Oh, man! You are a rock star of a prof. Wow!@JoeStewart you are very kind. Thank you.
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@blogdiva D, there isn't enough information/no way to know given just the info in the question. You need to know how prevalent the thing you're testing for is before you can venture a guess. See e.g., https://bail-risk-simulator-50382557550.us-west1.run.app/
@Colarusso @blogdiva I figured D because I didn't even know if the 10% inaccuracy tended to be false negatives or false positives.
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24/ Then I told them that there actually was a federal law enforcement agency actively using facial recognition out in the real world called ICE, and I asked what safeguards folks thought they had in place… Things got a bit quiet, and I shared the following reporting. https://www.404media.co/ices-facial-recognition-app-misidentified-a-woman-twice/
@Colarusso Excellent thread! Thanks!
