We can blame the ad industry or the ISPs, but this happened to satisfy a demand that was being driven by us going "if only we had..."
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We gotta own this. How do you, as a data scientist, pledge to not do harm to people. That's a thing you gotta know.
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What lines are you unwilling to cross? What tickets are you unwilling to clear? Do you have a path for escalation?
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I talked about this post-election, where the threat of the government forcing inferential reporting from private data is a possibility.
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But this also applies to our everyday jobs. Is it worth it to use, store, access this data?
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Maybe the answer is yes. Maybe you're doing epidemiology and you have strong institutional controls and can do good.
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Or maybe you're just targeting T-shirt sales and all of a sudden you have everyone's deepest secrets. Don't pull a Target.
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But in the end, our community is responsible for what happened today. No equivocation. We did this. This is on the best of us to control.
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(your rare politics + datasci/tech 2-fer-1 special)
End of conversation
New conversation -
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DataSci, politics, consequences.
#NoExternalities ↑ https://twitter.com/EmilyGorcenski/status/846924844734332928 … ↓ https://twitter.com/EmilyGorcenski/status/846921885870886914 … (ht@EmilyGorcenski , via@RichFelker)Thanks. Twitter will use this to make your timeline better. UndoUndo
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I'm just going to start searching everything to make my search history unusable and no one will buy it.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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