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| TWIML (Artificial Intelligence) Interview with Abeba Birhane.m4a

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This document provides a well transcribe test of Abeba used by several transcription accounts as a pass test. The document is well written and all Grammarly editing done well.

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  • October 22, 2022
  • 3
  • 2020/2021
  • Case
  • Dominguez francheska
  • A+

2  reviews

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By: ames12 • 1 year ago

excellent work...very helpful...

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By: BESTLEC • 1 year ago

very helpful

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49 minutes and 18 seconds
Applicant: Francheska Juliene G. Dominguez
File: TRIAL | TWIML (Artificial Intelligence) Interview with Abeba Birhane.m4a

Sam Charrington (00:01-00:12)
Alright, everyone. I am on the line with Abeba Birhane. Abeba is a PhD student at University
College Dublin. Abuba, welcome to the TWIML podcast.
Abeba Birhane (00:12-00:15)
Thank you so much for having me, Sam.
Sam Charrington (00:15-01:22)
I’m really excited about this conversation. We had an opportunity to meet in person after a
long while interacting on Twitter, at the most recent NeurIPS conference, in particular the
Black in AI Workshop, where you not only presented your paper “Algorithmic Injustices:
Towards a Relational Ethics,” but you won best paper there, and so, I’m looking forward to
digging into that and some other topics. But before we do that, I would love to hear you share
a little bit about your background.

And I will mention for folks that I’m hearing sirens in the background. While I mentioned that
you are from University College Dublin, you happen to be in New York now at the AIES
Conference in association with AAAI. And, as folks might know, it’s hard to avoid sirens and
construction in New York City. So, just consider that background or mood, ambiance,
background sounds.
Abeba Birhane and Sam Charrington (01:22-01:27)
Abeba: Okay.
Sam: So, your background.
Abeba: Yes, yes.
Sam: How did you get started working in AI Ethics?
Abeba Birhane (01:27-02:50)
So, my background is in cognitive science, particularly in path of cognitive science called
Embodied Cognitive Science, which has the roots in cyber ethics, in systems thinking. The
idea is to focus on the social, on the cultural, on the historical, and to view cognition in
continuity with the world, with historical background, and all that, as opposed to your
traditional approach to cognition, which just treats cognition as something located in the
brain, or something formalizable, something that can be computed.

So yes, that’s my background. Even during my masters, I lean towards the AI side of cognitive
science. The more I delve into it, the more I’m much more attracted to the ethics side, to
injustices, to the social issues. And the more the PhD goes on, the more I find myself in the
ethics side.
Sam Charrington (02:50-02:59)
Was there a particular point that you realized that you’re really excited about the ethics part
in particular? Or did it just evolve for you?




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