Transcript
A (0:10)
Hello and welcome to the Cloud Kitchens edition of Slate Money, your guide to the business and finance news of the week. I'm Felix Salmon of Axios. I am joined in the studio by Anna Shymansky of Breaking Views.
B (0:26)
Hello.
A (0:27)
And I am joined not in the studio by Emily Peck of HuffPost. Emily, how's your snowball? And what is a snowball?
C (0:35)
Hello. First of all, the snowball is this cool microphone that is round like a snowball.
A (0:42)
I love it. Is it white?
C (0:43)
It's actually black and it says blue on it. So there you go. I don't know, it's very confusing.
B (0:49)
I don't know what to do.
A (0:50)
This is the problem with technology is you never really understand it. We are going to talk a lot about the way that technology has changed the restaurant industry. We're going to talk a bunch about the way that technology is changing video because of course we had the big launch of Disney this week. And what's the other thing we're going to talk about?
C (1:11)
We're talking about the Apple card, man.
A (1:13)
Oh, oh, of course. How could I forget? We are going to talk about the Apple card. We're going to talk about whether or not Apple's glorious telephone based credit card launched in conjunction with MasterCard and Goldman Sachs is actually sexist. All that coming up on Slate Money. Let's talk about the Apple card. I am sitting opposite a blank chair which would normally be sat in by Kathy o'. Neill. I feel like Cathy o' Neill is the spiritual presence in the room. She's actually traveling today, but she did give an interview to Aaron Mack of Slate. If you want to read that. She. This is basically what she has been talking about since the first day she came onto Slate Money is the idea that disparate impact is the technical term. It's the idea that you can build an algorithm which ostensibly just looks at nothing more than your credit score and your self reported income and a few other things. And then in fact it can wind up giving predictably aggregate lower credit lines to women than it does to men. Now, we do not know that that is going on in this case because so far all we have is a bunch of Twitter anecdote. And it is very important.
B (2:36)
Who needs data when you have Twitter anecdote?
