Machine learning systems that we have today have become so powerful and are being introduced into everything from self‐driving cars, to predictive policing, to assisting judges, to producing your news feed on Facebook on what you ought to see. And they have a lot of societal impacts. But they’re very difficult to audit.
I came into doing work in an antidisciplinary space more or less by accident. Back when I was applying to university, the schools would send out these books talking about the different programs they offered and what each program was like. And for some reason I never read any of those books. I just applied to engineering school because I thought, “Oh, you know I like to make things, and engineering school’s where you make things.”
What does it mean to be antidisciplinary? To me, it means struggle. Sometimes, working in interdisciplinary fields, I felt like I’ve maybe tried really hard working and working and working on a project, and I wasn’t seeing any difference. Sometimes people would look at me and be like, “What are you even doing?” So, to me antidisciplinarity means not only not working in one specific field, but rather instead drawing from elsewhere to imagine something new.