Artwork

Content provided by Roman Mars. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Mars or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Age of the Algorithm

21:05
 
Share
 

Manage episode 186261099 series 8452
Content provided by Roman Mars. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Mars or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Computer algorithms now shape our world in profound and mostly invisible ways. They predict if we’ll be valuable customers and whether we’re likely to repay a loan. They filter what we see on social media, sort through resumes, and evaluate job performance. They inform prison sentences and monitor our health. Most of these algorithms have been created with good intentions. The goal is to replace subjective judgments with objective measurements. But it doesn’t always work out like that.
“I don’t think mathematical models are inherently evil — I think it’s the way they’re used that are evil,” says mathematician Cathy O’Neil, author of the book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. She has studied number theory, worked as a data scientist at start-ups, and built predictive algorithms for various private enterprises. Through her work, she’s become critical about the influence of poorly-designed algorithms.

The Age of the Algorithm

  continue reading

670 episodes

Artwork

The Age of the Algorithm

99% Invisible

69,856 subscribers

published

iconShare
 
Manage episode 186261099 series 8452
Content provided by Roman Mars. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Mars or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Computer algorithms now shape our world in profound and mostly invisible ways. They predict if we’ll be valuable customers and whether we’re likely to repay a loan. They filter what we see on social media, sort through resumes, and evaluate job performance. They inform prison sentences and monitor our health. Most of these algorithms have been created with good intentions. The goal is to replace subjective judgments with objective measurements. But it doesn’t always work out like that.
“I don’t think mathematical models are inherently evil — I think it’s the way they’re used that are evil,” says mathematician Cathy O’Neil, author of the book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. She has studied number theory, worked as a data scientist at start-ups, and built predictive algorithms for various private enterprises. Through her work, she’s become critical about the influence of poorly-designed algorithms.

The Age of the Algorithm

  continue reading

670 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide