Archive

Artificial Intelligence: Challenges of Extended Intelligence

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.

Challenging the Audience to Work in Anti-Disciplinary Spaces

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.” 

Making/Meaning in the Realm of Anti-Disciplinarity

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.

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