I wanted to prevent people from giving them too much power. I see that as a pattern. I wanted that to come to an end as soon as possible.

I know how models are built, because I build them myself, so I know that I'm embedding my values into every single algorithm I create and I am projecting my agenda onto those algorithms.

I think big data companies only like good news. So I think they're just hoping that they don't get sued, essentially.

People are starting to be very skeptical of the Facebook algorithm and all kinds of data surveillance.

When people are not given an option by some secret scoring system, it's very hard to complain, so they often don't even know that they've been victimized.

Obviously the more transparency we have as auditors, the more we can get, but the main goal is to understand important characteristics about a black box algorithm without necessarily having to understand every single granular detail of the algorithm.

There might never be that moment when everyone says, "Oh my God, big data is awful."