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Submission + - Why machine learning will build up dangerous intellectual debt (newyorker.com)

JonZittrain writes: I've been thinking about what happens when AI gives us seemingly correct answers that we wouldn't have thought of ourselves, without any theory to explain them. These answers are a form of "intellectual debt" that we figure we'll repay — but too often we never get around to it, or even know where it's accruing.

A more detailed (and unpaywalled) version of the essay draws a little from how and when it makes sense to pile up technical debt to ask the same questions about intellectual debt.

Comment My personal experience (Score 4, Insightful) 145

I've given them an honest shot, but like many I could not finish a course. I found that the lack of a face to face human communication was a huge stumbling block to success. Especially thring to learn python, math subjects, etc. It is far easier to be spoon fed knowledge and walked around complex subjects with your hand held. The main weakness in MOOCs is the lack of human interaction and instruction when you are not able to figure it out on your own.

Comment So what, the DC are gonna be gatekeepers now ? (Score 3, Informative) 199

“There's no proactive obligation to investigate what happens on your service," said Tamir Israel, a staff lawyer at the Canadian Internet Policy & Public Interest Clinic (CIPPIC). “If you do become aware that something is there, there's a reporting obligation. But usually data centers aren't actively looking through their stuff, so it's reasonable to say that they wouldn't have come across that." Nobody's got time for that!

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