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etui.podcast

Regulating AI at work with Valerio De Stefano and Virginia Doellgast

etui.podcast

ETUI

Business, Non-profit

0.00 Ratings

🗓️ 30 June 2023

⏱️ 35 minutes

🧾️ Download transcript

Summary

AI is now widely used to automate business processes and replace labour-intensive tasks while changing the skill demands for those that remain. How are AI-based tools deployed to monitor worker conduct and to automate HR management processes? Through the dual lens of comparative labour law and employment relations research, our guest investigate the role of collective bargaining and government policy in shaping strategies to deploy new digital and AI-based technologies at work.


More about the special issue: https://journals.sagepub.com/toc/trsa/29/1

Transcript

Click on a timestamp to play from that location

0:00.0

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

0:06.1

I'm your host, Bianca Luna Fabrice, and in this episode we will be hearing all about AI and the

0:11.3

world of work.

0:12.1

This episode stems from a very recent transfer special issue on this theme that our guest

0:17.9

have coordinated.

0:19.2

Thank you so much to Virginia Dolgast, Professor of Comparative

0:22.4

Employment Relations at Cornell University and Valedo de Stefano, Canada, research share in

0:27.7

innovation law and society at Usgood Hall-Oskud York University, Toronto, for being with us and with me

0:34.3

today. Let's just ease into the episode with a very simple and easy question, if that's okay.

0:40.3

And maybe Valeria, we could start with you.

0:43.3

So AI in the world of work, why is it such a topical issue at the minute?

0:49.3

And perhaps also you could give us a few examples.

0:52.3

Of course.

0:53.3

So AI, automated decision making algorithmic management

0:57.7

are extremely topical at the moment. And they have been for a while. Let's say that for a while

1:06.0

we have focused on how many jobs were at risk for automation, AI, algorithmic decision-making,

1:14.2

introducing our workplace. And this is something that our issue also marginally deals with.

1:19.1

But one of the important focuses of our issues is how artificial intelligence, algorithmic

1:26.0

decision-making impacts on the quality of work.

1:29.9

Because the systems that we are focusing on are increasingly used, if at all, to automate the job of managers,

1:39.2

the job of bosses in the sense that many activity that traditionally were executed by bosses or supervisors

1:47.0

are now increasingly being outsourced to machines.

...

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