True enough, but it would be equally unhelpful to say war is new. When we’re trying to work out what we think about something new, it’s worth working out what parts really are new, and how we reacted to comparable changes in the past (cf ‘databases destroy freedom’ in the 70s)
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Replying to @benedictevans @zeynep and
I think another angle to pursue is how far we’re uncomfortable because the new thing is somehow an automated version of something we were previously comfortable with - doing it *at scale* is the problem. That’s why face recognition is different to wanted posters.
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I agree. “This is all new” is the wrong tack to take. We’re operating through very old and very human impulses and social dynamics. But the tools and their efficacy has dramatically changed, and that’s the issue. For example, losing practical obscurity is a big deal.
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Indeed. If I may quote my book (ahha, the only good reason to write a book probably): "technology rarely generates absolutely novel human behavior; rather, it changes the terrain on which such behavior takes place."pic.twitter.com/0SeZew42Qu
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Something rarely thought about is how to optimize for limiting some effects while preserving others. That’s what’s so fascinating about privacy preserving machine learning for example. Scale by itself just optimizes for profit or power.
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People who work on products think about trade-offs every single second of every single day.
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I think in some cases, they genuinely had no idea of the negative externalities. Surprised many. In other cases, taking the negative externalities into account is not compatible with profit for that business model. That’s a hard problem. (For example, content moderation).
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If only that was the answer
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End of conversation
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