This sounds like a loaded question but... Why don't more people who talk about AI $subject (eg, ethics, policy, strategy) actually engage with foundational technical literature? What is the plausible justification for not habitually skimming Arxiv?
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Replying to @jackclarkSF
Because they can do well professionally without. As an ethnographic adventure I went to a conference last year focused on AI, UBI etc. I didn't meet anyone, or see a single speaker, who was engaged w the primary literature on AI. But lots of these ppl speak at Davos, in NYT etc
3 replies 2 retweets 37 likes -
Replying to @michael_nielsen @jackclarkSF
michael_nielsen Retweeted kristin eberth
See also: https://twitter.com/kristineberth/status/997356628339904514 … It's really interesting, and I'll bet there's a good book in it.
michael_nielsen added,
2 replies 2 retweets 30 likes -
Replying to @michael_nielsen @jackclarkSF
An amusing test reporters could apply: "Oh, before we begin, would you mind quickly writing down the equations describing backprop in, say, a simple feedforward net? Okay if it's a bit rough!" AKA, do you know how any of this works?
2 replies 1 retweet 8 likes -
Replying to @michael_nielsen @jackclarkSF
Slightly unfair - there are people with interesting things to say who would fail this test. Still, I think the idea has merit, some kind of FizzBuzz for AI "experts".
4 replies 0 retweets 3 likes -
Replying to @michael_nielsen @jackclarkSF
A serious point: the notion of an "AI expert" is a very difficult one. Does it mean an expert on: (a) hypothetical future artificial intelligences; or (b) the current crop of techniques, which may or may not have anything to do with (a), but are certainly far distant from it.
3 replies 0 retweets 3 likes
The challenge is that people in class (b) are often presented as being in class (a). Arguably, no-one is in class (a). This is not a criticism of any of those people or even, really, the journalists: it's arguably a category error arising from terms like "AI expert".
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