Shared Links (bi-weekly) May 31, 2026
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This statement is an important reminder regarding the people you work with.
“1 in 6.8 people in the average workplace experience mental health problems. Working whilst living with depression can be exhausting. There is a lot that people don’t see. Sometimes it can feel as though we’re almost living two different lives. When others understand our experiences, it can help us to feel less alone.”
And this really brings me back to my point, that we do a poor job of truly understanding science, statistics and cause and effect. We believe that algorithms have all been well-thought out, and produce a “true” result, even when they are trying to predict something as unpredictable as what traffic will look like 20 years from now. We assume social science studies are giving us the “right” answer for how to educate people, or train them for the best outcomes, without considering what we are teaching them about the larger world. We assume that we can tweak one belief, or one thing, without human beings reacting to those changes in unpredictable ways, all the while thinking our one change will cause the reaction we DO predict.
We assume a lot that should never be assumed. We over-simplify a world that actually has more influences than we can possibly account for, and assume that what is really a small statistical difference represents a universal truth.
It doesn’t. There are no simple answers. It takes hard work, hard discussions, and lots of listening to figure out the best way forward. Don’t wait for AI to tell you what to do, it may be missing quite a bit.
A few of these cover Day 1’s sessions but either they were posted after I went to bed yesterday, or today. Probably has something to do with the Wifi problems I’ve seen mentioned on Twitter. Can’t update the blog without it! 🙂 LTNY 2009: Day One in Review LTNY 2009: Conference Reports From Legal Bloggers…
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One of the things that is both exciting, and overwhelming, about starting a new job is all the new stuff you get to use. In a week and a half since starting the new job, I’ve been getting used to having a Droid instead of a Blackberry, using Google Apps, learning new systems for things…
Ultimately, this is the problem with wide-scaled facial recognition use. It’s going to “find” a lot of similar looking people. For an extreme example of what can go wrong, take data recently released by an EU Freedom of Information request and then posted by the South Wales police. It shows that at the Champions League…