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

That's what we do when we work in Silicon Valley tech startups: We think about who's going to benefit from this. That's almost the only thing we thin….

My fantasy is that there is a new regulatory body that is in charge of algorithmic auditing..

The Facebook algorithm designers chose to let us see what our friends are talking about. They chose to show us, in some sense, more of the same. And ….

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

For whatever reason, I have never separated the technical from the ethical..

Evidence of harm is hard to come by..

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 ….

Micro-targeting is the ability for a campaign to profile you, to know much more about you than you know about it, and then to choose exactly what to ….

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 doi….

I don't think anybody's ever notified that they were sentenced to an extra two years because their recidivism score had been high, or notified that t….

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 victim….

You'll never be able to really measure anything, right? Including teachers..

We don't let a car company just throw out a car and start driving it around without checking that the wheels are fastened on. We know that would resu….

Especially from my experience as a quant in a hedge fund - I naively went in there thinking that I would be making the market more efficient and then….

The training one receives when one becomes a technician, like a data scientist - we get trained in mathematics or computer science or statistics - is….

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, ….

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

There's less of a connection for a lot of people between the technical decisions we make and the ethical ramifications we are responsible for..

People felt like they were friends with Google, and they believed in the "Do No Evil" thing that Google said. They trusted Google more than they trus….

There are lots of different ways that algorithms can go wrong, and what we have now is a system in which we assume because it's shiny new technology ….