[iamzaf]

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.