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In this edition of #FSRDebates, the discussion will focus on the gender dimension of workplace equality and inclusion policies. While employers acknowledge the significance of these policies and strive to incorporate them into their practices, their effectiveness isn’t always guaranteed and, at times, may even yield less favourable outcomes. For instance, despite the initial adoption of AI by companies with the anticipation of impartial decision-making, current research indicates that AI frequently displays biases learned from human data, consequently reinforcing gender inequalities.

We will be joined by ACER’s Silvia Manessi, Team Leader, Human Resources Management, who will delve into the complexities of defining and implementing effective gender balance and inclusion policies. She will explore these challenges from both theoretical and practical perspectives. Elena Pisanelli, PhD Candidate at the EUI, will present her thesis on the use of artificial intelligence (AI) technologies in hiring and their impact on gender inequality in the labour market. The presentations will be followed by a panel discussion.

 

Draft Programme

14.00 – 14.05 Introduction to the Debate

Ilaria Conti | Florence School of Regulation

14.05 – 14.15  PhD Thesis presentation: AI, gender and work

Elena Pisanelli | SPS, EUI

14.15 – 14.35   Gender mainstreaming in the workplace: where are we now and what’s next?

Silvia Manessi | ACER

14.35 – 15.10 Discussion: Introductory Remarks and Comments

Moderator: Ilaria Conti | Florence School of Regulation

Dr Elizabeth Pollitzer | gEneSys

Andrea Lenauer | WIE

Costanza Hermanin | RSC, EUI

Annika Beintner | Landwärme

15.10 – 15.25 Q&A from the audience

15.25 – 15.30 Concluding remarks

Ilaria Conti | Florence School of Regulation

 

 

 

 

 

 

Register now
Venue
online
Scientific organiser
Ilaria Conti

Speakers

Img speaker
Ilaria Conti
FSR
Img speaker
Elena Pisanelli
EUI
Img speaker
Andrea Lenauer
ICER
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Elizabeth Pollitzer
gEneSys
Img speaker
Silvia Manessi
ACER
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Costanza Hermanin

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