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iamzaf

It would be nice to know how performant your method is, but overall looks quite neat!
Re:Ask HN: How exactly will AI be Dangerous? on Wednesday August 09, 2017 @04:53PM (#14973477)
It's best to change our understanding of _dangerous_.

AI will not come in the form of a dystopian movie franchise.

AI will show itself in ugly biases that occur because of our human biases. The prime example of AI being dangerous already exists in predictive policing. A potential starting point to understanding that aspect of the problem is [here](https://www.washingtonpost.com/opinions/big-data-may-be-rein...).

In terms of the physical realm, you can think of self-driving cars. Currently, these systems are not robust to [adversarial examples](https://blog.openai.com/adversarial-example-research/).

So AI will not be dangerous in the traditional sense. It _might_ be dangerous because of biases in the data or because it acts in ways in which we do not expect them to work.

Research in interpretable models and adversarial examples will help alleviate some of these issues.

Yes, I currently work here.

Should have made a disclaimer!

This was my contribution: https://github.com/mljs/matrix/pull/50

I previously contributed to the mljs libraries and used the opportunity to add a new feature and demonstrate that I knew how to unit test etc.