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etui.podcast

How is AI impacting our lives? with Hamid Ekbia and Nicola Countouris

etui.podcast

ETUI

Business, Non-profit

0.00 Ratings

🗓️ 4 August 2022

⏱️ 11 minutes

🧾️ Download transcript

Summary

In this episode, you will be hearing a conversation between Hamid Ekbia and Nicola Countouris on AI, the concept of Heteromation and how artificial intelligence is impacting and will impact our (working) lives. 

This episode is part of the Reconstruction Beyond the Pandemic Project.

Transcript

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0:00.0

Hello and welcome to ETIWI podcast, Voices on the World of Work.

0:07.2

I'm your host, Bianca Luna Fabriz, and in this episode, you will be listening to a conversation

0:11.8

on AI and its impact on the world of work.

0:14.8

The conversation is going to be between the ETIR Research Director Nicola Contouris and

0:19.4

Hamid Ekbiyah.

0:20.6

Hamid is professor of Informatics,

0:23.5

cognitive science and international studies at Indiana University.

0:27.2

This podcast is part of our ETI project reconstruction beyond the pandemic

0:32.0

that is coordinated by Nicola Contouris, Karina Rabajeva, Vaoutresbitten and myself.

0:36.9

And should you want to know a bit more

0:38.2

about the project, you can find a few links in the show notes. Hello, Hamid. It's great to welcome

0:43.9

you to our ETII podcast. It's a pleasure also to welcome you here in Brussels. And I wanted

0:50.4

to start from a project that you had in the past and has been accompanying you,

0:56.6

the project of heteromation in which you worked with Boninadi, a groundbreaking monograph five years ago.

1:05.0

I wanted to ask you if you could outline the central idea of heteromation for our audience.

1:10.8

Sure. Thank you very much, Nicola. It's great to be here. It's really an honor,

1:14.2

privilege to be among this, this wonderful colleagues of yours, and I'm learning a lot.

1:19.1

But on the question of heteromation, let me just start by saying the motivation that we had

1:24.9

behind coining a new term, because academics are usually very keen on that.

1:29.0

But our motivation was that we were seeing the emergence of different phenomena that all pointed

1:34.9

in the same direction, namely that human beings were increasingly doing things that machines

1:40.1

were not able to do or not ready to do. And it appeared in different places, you know,

...

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