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Re:Deep Learning’s Impact on Image Processing, Mathematics, ... by eksemplar on Sunday May 07, 2017 @06:05AM (#14284706)
I think it comes down to politics, which is ultimately about convincing a public. The same public which has caused measles pandemics to rise again because enough of it believed a YouTube video.

One example is in the child services. We've got enough digital historical data from child services, that we're able to build models, that let's us predict whether or not a child will have to be removed from abusive parents 5-10 years from now.

This information is relatively useless though, because there is no way to explain how it works in a sense that the general public will accept.

The public is probably going to adjust eventually, but until that happens, you'll see an increasing push for documentation on how a result was reached.

Ironically an algorithm that explains how it ended up with the results that it did, isn't any more moral than an algorithm that didn't. I mean, you're losing you autonomy and freedom when the government knows what you'll do before you do either way.

Re:Deep Learning’s Impact on Image Processing, Mathematics, ... by xamuel on Sunday May 07, 2017 @08:37AM (#14285140)
>An algorithm that explains ... isn't any more moral

Not sure what "moral" means, but two things:

1. If black boxes make unexplainable decisions, that gives too much power to the person who reads the box's answer,

2. If the child services algorithm explained its prediction involved e.g. alcoholism, then the parents could try to quit.

Re:Deep Learning’s Impact on Image Processing, Mathematics, ... by xherberta on Sunday May 07, 2017 @09:37AM (#14285386)
Unfortunately, you can't quit alcoholism. Also troubling: what if the child service algo happens to predict that brown families are more abusive?