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How to recognize AI snake oil [pdf]

cs.princeton.edu

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Re: How to recognize AI snake oil [pdf]

#8

self-censored, fanboys don't buy it

Not to indulge the troll, but Arvind Narayanan is an (associate) professor of CS at Princeton and is one of the foremost researchers in the field on topics of ML/data privacy and ethics [0]. His papers/talks/tweets regularly attract attention on HN [1]. That you're judging the talk based on which conferences the author hasn't published in says more about your ignorance of the STS field than it does about the author's knowledge of the topic. This is top-notch content!

[0] https://scholar.google.com/citations?hl=en&user=0Bi5CMgAAAAJ...

[1] https://hn.algolia.com/?q=random_walker

Re: How to recognize AI snake oil [pdf]

#10
My company is sourcing AI from MTurk. It's actually cheaper than running fat GPU model training instances. The network learns fast and adapts well to changes in inputs.

I envision the sticker "human inside" strapped on our algorithms.

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