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Data & Society Databite #101: Machine Learning: What’s Fair and How Do We Decide?

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.

The Conversation #35 — Chuck Collins

Much of class and iso­la­tion and pulling away is this sort of illu­sion that some­how we can be apart from the suf­fer­ing that is in our midst. And that’s a myth. The social iso­la­tion that many peo­ple in the one per­cent expe­ri­ence is a wound.

The Conversation #33 — Priscilla Grim

I was at a par­ty one time where I was talk­ing to some guy who had been pro­filed by Adbusters because he was a big cli­mate change guy. And he basi­cal­ly told me…that I need­ed to be mak­ing my own food, I need­ed to be mak­ing my own clothes. So you’re telling me that as a work­ing moth­er going to school full-time, along with those respon­si­bil­i­ties in which I am at home study­ing most the time, I should be mak­ing my daughter’s clothes. I should be whip­ping up meals from scratch. Um…no.

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