What I’m going to do today is situate digital methods as an approach, as an outlook, in the history of Internet-related research. I’d like to divide up the history of Internet research largely into three eras, the first being where we thought of the Web as a kind of cyberspace.
One of the things that I think is really important is that we’re paying attention to how we might be able to recuperate and recover from these kinds of practices. So rather than thinking of this as just a temporary kind of glitch, in fact I’m going to show you several of these glitches and maybe we might see a pattern.
The question is what are we doing in the industry, or what is the machine learning research community doing, to combat instances of algorithmic bias? So I think there is a certain amount of good news, and it’s the good news that I wanted to focus on in my talk today.
We’re losing our ability to forget the things that should be forgotten. Wait until you try to run for Senate or Congress, some of you in this room, and some pictures or text roll up.