Identifying, measuring and developing future skills: an interdisciplinary model assessing the impact of organizational transformations driven by digital technologies and artificial intelligence on employment systems

This initiative studies the impact of digital technologies and AI on employment systems to identify future skills needs, determine actions to meet them and raise factors that are likely to exacerbate inequalities among more vulnerable groups

Main researcher

Co-researchers

Jaya Nilakantan

Marie-Thérèse Chicha

Marie-Eve Dufour

Julie Dextras-Gauthier

Félix Ballesteros-Leiva

Laurent Ruhlmann

computer science teacher
Collège Dawson

Suzanne Bruyère

Professeure

Eddy Ng

Professeur agrégé

Mustafa Ozbilgin

Professeur

Lucy Taksa

Professeure

Resources

A typology of AI-based tasks for the HR function

Tania Saba, Jean Frantz Ricardeau Registre

This paper examines how artificial intelligence (AI) is altering HR duties. By reviewing current research, it classifies AI-powered HR tasks into three categories: mechanical, thinking, and feeling. This analysis sheds light on the changing nature of HR roles in the AI era.

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