Kenneth Cukier
speaker
76 appearances
1 recordings
1 series
first heard Mar 2013
last heard Mar 2013
Kenneth Cukier’s voice in public audio — every appearance, attributed to the second.
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Still a problem.
But the point is that that doesn't apply when we're learning from data, learning from large data sets.
So an example is machine translation.
The way it works is through statistics.
It's basically presuming that a
Word in one language is a suitable alternative for a word in another language.
And the only way to make that system work very well is to have more data.
The more data we have in it, the better we can score the probability that these words are the correct ones.
Hence, in those instances, spurious correlation is not a big problem.
Yes, there is, and it's one you might call propensity.
The idea is that algorithms will be making decisions based on what we are likely to do, but penalizing us prior to us committing the crime or the infraction.
It's a little bit like in the movie with Tom Cruise called Minority Report, in which people were being locked up for crimes they were predicted to do, called pre-crime, not for what they've done.
So what would this look like in practice?
You could imagine that the state might find that someone has a 98% likelihood to shoplift in the next 12 months.
And so instead of locking the person up, which I don't think is that plausible, I think we're a wiser society, you'll have a social worker knock on the door and say, I want to give this young gentleman an after-school job, or I want to give him some counseling.
Now, it may look like a positive intervention by the state.
However, it also could be seen as a negative one.
He'll be stigmatized.
And of course, the person also, using basic statistics, could make the claim that,
I will be part of the 2% that will exercise moral choice and not shotlift.
Showing 41–60 of 76 · page 3 of 4
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