I would argue that one of the major problems with our blind trust in algorithms is that we can propagate discriminatory patterns without acknowledging any kind of intent.

Evidence of harm is hard to come by.

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.

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.

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

The NSA buys data from private companies, so the private companies are the source of all this stuff.

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