We can't just throw something out there and assume it works just because it has math in it.

Occupy provided me a lens through which to see systemic discrimination.

The training one receives when one becomes a technician, like a data scientist - we get trained in mathematics or computer science or statistics - is entirely separated from a discussion of ethics.

Most people don't have any association in their minds with what they do and with ethics. They think they somehow moved past the questions of morality or values or ethics, and that's something that I've never imagined to be true.

So much of our society as a whole is gearing us to maximize our salary or bonus. Basically, we just think in terms of money. Or, if not money, then, if you're in academia, it's prestige. It's a different kind of currency. And there's this unmeasured dimension of all jobs, which is whether it's improving the world.

I think there's inherently an issue that models will literally never be able to handle, which is that when somebody comes along with a new way of doing something that's really excellent, the models will not recognize it. They only know how to recognize excellence when they can measure it somehow.

I set up a company, an algorithmic auditing company myself. I have no clients.