Re-reading Garfinkel’s 1967 _Studies in Ethnomethodology_ and finding it hugely easier than on my first time through in 1987. I’ve learned and changed since then, but also— so have the times. What was almost incomprehensibly alien then is directly relevant to our now.
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Unfortunately “AI” currently means “image classification using texture matching,” and it seems difficult to make a case that EM would help with that. Maybe once that hype cycle is exhausted, the definition of “AI” will open up enough that EM may again seem relevant.
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EM is more obviously relevant to UX, and of course there’s a tradition of application there. UX doesn’t get the respect it deserves… I suppose funding is scarce even for UX research, never mind EM-for-UX research?
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You think? I'm no expert, but based on reading interesting papers and seeing announcements of progress on apparently practical applications, It seems rather exuberant but not particularly unhealthy.
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Interesting… which practical applications have seemed worthwhile?
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For someone who works in "AI"/machine-learning, it's nicer than the turn of century where no one wanted to fund anything related to AI or neural networks.
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