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Truth Makers with Kasia Chmielinski & Ndapewa Onyothi (Part I)

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Manage episode 398363910 series 3530514
Content provided by Ars Electronica. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ars Electronica 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.

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In this episode, we discuss how machine learning and artificial intelligence adopt hegemonic discourse and existing biases and, what’s more, amplify them, and we talk to some of the people out there who are fighting back. Our guests are Kasia Chmielinski (they/them) - Co-Founder of the Data Nutrition Project, an initiative that builds tools to mitigate bias in artificial intelligence - and Ndapewa Onyothi Wilhelmina Nekoto - an independent researcher & community builder, part of Masakhane.
Resources:
QT.bot - Sitting here with you in the future by Lucas LaRochelle (CA)
Ceux sans qui la terre ne serait pas la terre by David Shongo (CD)
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Braiding Sweetgrass by Robin Wall Kimmerer
Host & Producer: Ana-Maria Carabelea
Editing: Ana-Maria Carabelea
Music & Mixing: Karl Julian Schmidinger

The Digital Deal Podcast is part of European Digital Deal, a project co-funded by Creative Europe and the Austrian Federal Ministry for Arts, Culture, the Civil Service and Sport. Views and opinions expressed in this podcast are those of the host and guests only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor the European Education and Culture Executive Agency (EACEA) can be held responsible for them.

  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 398363910 series 3530514
Content provided by Ars Electronica. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ars Electronica 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.

Send us a Text Message.

In this episode, we discuss how machine learning and artificial intelligence adopt hegemonic discourse and existing biases and, what’s more, amplify them, and we talk to some of the people out there who are fighting back. Our guests are Kasia Chmielinski (they/them) - Co-Founder of the Data Nutrition Project, an initiative that builds tools to mitigate bias in artificial intelligence - and Ndapewa Onyothi Wilhelmina Nekoto - an independent researcher & community builder, part of Masakhane.
Resources:
QT.bot - Sitting here with you in the future by Lucas LaRochelle (CA)
Ceux sans qui la terre ne serait pas la terre by David Shongo (CD)
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Braiding Sweetgrass by Robin Wall Kimmerer
Host & Producer: Ana-Maria Carabelea
Editing: Ana-Maria Carabelea
Music & Mixing: Karl Julian Schmidinger

The Digital Deal Podcast is part of European Digital Deal, a project co-funded by Creative Europe and the Austrian Federal Ministry for Arts, Culture, the Civil Service and Sport. Views and opinions expressed in this podcast are those of the host and guests only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor the European Education and Culture Executive Agency (EACEA) can be held responsible for them.

  continue reading

6 episodes

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