Artwork

Content provided by Electronic Frontier Foundation and Electronic Frontier Foundation (EFF). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Electronic Frontier Foundation and Electronic Frontier Foundation (EFF) 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://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Philosopher King

32:49
 
Share
 

Manage episode 328022266 series 2824229
Content provided by Electronic Frontier Foundation and Electronic Frontier Foundation (EFF). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Electronic Frontier Foundation and Electronic Frontier Foundation (EFF) 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://ppacc.player.fm/legal.

Computer scientists often build algorithms with a keen focus on “solving the problem,” without considering the larger implications and potential misuses of the technology they’re creating. That’s how we wind up with machine learning that prevents qualified job applicants from advancing, or blocks mortgage applicants from buying homes, or creates miscarriages of justice in parole and other aspects of the criminal justice system.

James Mickens—a lifelong hacker, perennial wisecracker, and would-be philosopher-king who also happens to be a Harvard University professor of computer science—says we must educate computer scientists to consider the bigger picture early in their creative process. In a world where much of what we do each day involves computers of one sort or another, the process of creating technology must take into account the society it’s meant to serve, including the most vulnerable.

Mickens speaks with EFF's Cindy Cohn and Danny O’Brien about some of the problems inherent in educating computer scientists, and how fixing those problems might help us fix the internet.

In this episode you’ll learn about:

  • Why it’s important to include non-engineering voices, from historians and sociologists to people from marginalized communities, in the engineering process
  • The need to balance paying down our “tech debt” —cleaning up the messy, haphazard systems of yesteryear—with innovating new technologies
  • How to embed ethics education within computer engineering curricula so students can identify and overcome challenges before they’re encoded into new systems
  • Fostering transparency about how and by whom your data is used, and for whose profit
  • What we can learn from Søren Kierkegaard and Stan Lee about personal responsibility in technology.

If you have any feedback on this episode, please email [email protected]. Please visit the site page at https://eff.org/pod207 where you’ll find resources – including links to important legal cases and research discussed in the podcast and a full transcript of the audio.

This podcast is supported by the Alfred P. Sloan Foundation's Program in Public Understanding of Science and Technology.

Music for How to Fix the Internet was created for us by Reed Mathis and Nat Keefe of BeatMower.

This podcast is licensed Creative Commons Attribution 4.0 International, and includes the following music licensed Creative Commons Attribution 3.0 Unported by their creators:

http://dig.ccmixter.org/files/djlang59/59729

Probably Shouldn't by J.Lang (c) copyright 2019

http://dig.ccmixter.org/files/airtone/58703

commonGround by airtone (c) copyright 2018

http://dig.ccmixter.org/files/mwic/58883

Xena's Kiss / Medea's Kiss by mwic (c) copyright 2018

http://dig.ccmixter.org/files/Skill_Borrower/41751

Klaus by Skill_Borrower (c) copyright 2013

http://dig.ccmixter.org/files/NiGiD/62475

Chrome Cactus by Martijn de Boer (NiGiD) (c) copyright 2020

  continue reading

57 episodes

Artwork

The Philosopher King

How to Fix the Internet

12,342 subscribers

published

iconShare
 
Manage episode 328022266 series 2824229
Content provided by Electronic Frontier Foundation and Electronic Frontier Foundation (EFF). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Electronic Frontier Foundation and Electronic Frontier Foundation (EFF) 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://ppacc.player.fm/legal.

Computer scientists often build algorithms with a keen focus on “solving the problem,” without considering the larger implications and potential misuses of the technology they’re creating. That’s how we wind up with machine learning that prevents qualified job applicants from advancing, or blocks mortgage applicants from buying homes, or creates miscarriages of justice in parole and other aspects of the criminal justice system.

James Mickens—a lifelong hacker, perennial wisecracker, and would-be philosopher-king who also happens to be a Harvard University professor of computer science—says we must educate computer scientists to consider the bigger picture early in their creative process. In a world where much of what we do each day involves computers of one sort or another, the process of creating technology must take into account the society it’s meant to serve, including the most vulnerable.

Mickens speaks with EFF's Cindy Cohn and Danny O’Brien about some of the problems inherent in educating computer scientists, and how fixing those problems might help us fix the internet.

In this episode you’ll learn about:

  • Why it’s important to include non-engineering voices, from historians and sociologists to people from marginalized communities, in the engineering process
  • The need to balance paying down our “tech debt” —cleaning up the messy, haphazard systems of yesteryear—with innovating new technologies
  • How to embed ethics education within computer engineering curricula so students can identify and overcome challenges before they’re encoded into new systems
  • Fostering transparency about how and by whom your data is used, and for whose profit
  • What we can learn from Søren Kierkegaard and Stan Lee about personal responsibility in technology.

If you have any feedback on this episode, please email [email protected]. Please visit the site page at https://eff.org/pod207 where you’ll find resources – including links to important legal cases and research discussed in the podcast and a full transcript of the audio.

This podcast is supported by the Alfred P. Sloan Foundation's Program in Public Understanding of Science and Technology.

Music for How to Fix the Internet was created for us by Reed Mathis and Nat Keefe of BeatMower.

This podcast is licensed Creative Commons Attribution 4.0 International, and includes the following music licensed Creative Commons Attribution 3.0 Unported by their creators:

http://dig.ccmixter.org/files/djlang59/59729

Probably Shouldn't by J.Lang (c) copyright 2019

http://dig.ccmixter.org/files/airtone/58703

commonGround by airtone (c) copyright 2018

http://dig.ccmixter.org/files/mwic/58883

Xena's Kiss / Medea's Kiss by mwic (c) copyright 2018

http://dig.ccmixter.org/files/Skill_Borrower/41751

Klaus by Skill_Borrower (c) copyright 2013

http://dig.ccmixter.org/files/NiGiD/62475

Chrome Cactus by Martijn de Boer (NiGiD) (c) copyright 2020

  continue reading

57 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

Listen to this show while you explore
Play