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John Danaher에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 John Danaher 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Episode #47 – Eubanks on Automating Inequality

 
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Manage episode 219359014 series 1328245
John Danaher에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 John Danaher 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

MalO2E3H_400x400.jpg

In this episode I talk to Virginia Eubanks. Virginia is an Associate Professor of Political Science at the University at Albany, SUNY. She is the author of several books, including Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor and Digital Dead End: Fighting for Social Justice in the Information Age. Her writing about technology and social justice has appeared in The American Prospect, The Nation, Harper’s and Wired. She has worked for two decades in community technology and economic justice movements. We talk about the history of poverty management in the US and how it is now being infiltrated and affected by tools for algorithmic governance.

You can download the episode here or listen below. You can also subscribe to the show on iTunes or Stitcher (the RSS feed is here).

Show Notes

  • 0:00 – Introduction
  • 1:39 – The future is unevenly distributed but not in the way you might think
  • 7:05 – Virginia’s personal encounter with the tools for automating inequality
  • 12:33 – Automated helplessness?
  • 14:11 – The history of poverty management: denial and moralisation
  • 22:40 – Technology doesn’t disrupt our ideology of poverty; it amplifies it
  • 24:16 – The problem of poverty myths: it’s not just something that happens to other people
  • 28:23 – The Indiana Case Study: Automating the system for claiming benefits
  • 33:15 – The problem of automated defaults in the Indiana Case
  • 37:32 – What happened in the end?
  • 41:38 – The L.A. Case Study: A “match.com” for the homeless
  • 45:40 – The Allegheny County Case Study: Managing At-Risk Children
  • 52:46 – Doing the right things but still getting it wrong?
  • 58:44 – The need to design an automated system that addresses institutional bias
  • 1:07:45 – The problem of technological solutions in search of a problem
  • 1:10:46 – The key features of the digital poorhouse

Relevant Links

  continue reading

64 에피소드

Artwork
icon공유
 
Manage episode 219359014 series 1328245
John Danaher에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 John Danaher 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

MalO2E3H_400x400.jpg

In this episode I talk to Virginia Eubanks. Virginia is an Associate Professor of Political Science at the University at Albany, SUNY. She is the author of several books, including Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor and Digital Dead End: Fighting for Social Justice in the Information Age. Her writing about technology and social justice has appeared in The American Prospect, The Nation, Harper’s and Wired. She has worked for two decades in community technology and economic justice movements. We talk about the history of poverty management in the US and how it is now being infiltrated and affected by tools for algorithmic governance.

You can download the episode here or listen below. You can also subscribe to the show on iTunes or Stitcher (the RSS feed is here).

Show Notes

  • 0:00 – Introduction
  • 1:39 – The future is unevenly distributed but not in the way you might think
  • 7:05 – Virginia’s personal encounter with the tools for automating inequality
  • 12:33 – Automated helplessness?
  • 14:11 – The history of poverty management: denial and moralisation
  • 22:40 – Technology doesn’t disrupt our ideology of poverty; it amplifies it
  • 24:16 – The problem of poverty myths: it’s not just something that happens to other people
  • 28:23 – The Indiana Case Study: Automating the system for claiming benefits
  • 33:15 – The problem of automated defaults in the Indiana Case
  • 37:32 – What happened in the end?
  • 41:38 – The L.A. Case Study: A “match.com” for the homeless
  • 45:40 – The Allegheny County Case Study: Managing At-Risk Children
  • 52:46 – Doing the right things but still getting it wrong?
  • 58:44 – The need to design an automated system that addresses institutional bias
  • 1:07:45 – The problem of technological solutions in search of a problem
  • 1:10:46 – The key features of the digital poorhouse

Relevant Links

  continue reading

64 에피소드

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