4.8 • 1.5K Ratings
🗓️ 27 December 2019
⏱️ 4 minutes
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0:00.0 | My name is Paul Constant. |
0:05.0 | I am a writer here at Civic Ventures and I occasionally host Pitch Fork Economics and I'm also in my spare time a co-founder of a website called |
0:15.4 | the Seattle Review of Books which provides news reviews and interviews for the |
0:21.0 | Seattle literary scene. From time to time, I pop into your feed |
0:24.4 | with a recommendation of a book |
0:27.1 | that I think you might find interesting. |
0:29.5 | Usually, I like to focus on books |
0:31.0 | that I think demonstrate economics in action in the real world that sort of help illustrate what we talk about here on this podcast. |
0:39.0 | We are always very interested in exploring the central economic question of who gets what and why. |
0:44.9 | And that's where Kathy O'Neill's book Weapons of Math Destruction comes in, subtitled |
0:50.0 | how big data increases inequality and threatens democracy. |
0:53.7 | O'Neill's a data scientist who has a lot of opinions and facts about the way we're letting |
0:59.1 | algorithms guide our lives. |
1:01.8 | Algorithms are insinuating themselves into every aspect of our lives, from social media to banking |
1:05.8 | to real estate. |
1:07.9 | Algorithms sort kids into schools and decide whether or not you can get that credit card |
1:12.3 | that you applied for. |
1:13.6 | And they tell us where we can live and which of our friends we can see online. |
1:18.7 | And so while it's easy to think of algorithms as a dispassionate and impartial referee, like a robot, the thing is that they are |
1:26.0 | programmed by humans and they are shaped by humans, and so they are just as susceptible to human |
1:31.1 | bias as you and I are. So that means all the human problems that just as |
1:33.0 | as susceptible to human bias as you and I are. So that means all the human problems that we carry within us, |
... |
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