Detailed information about the course

[ Back ]

AI/ML and the Future of Work


November/December 2021


Christine Legner, UNIL

Benjamin Müller, UNIL

Michalis Vlachos, UNIL


  • Alexander Mädche, Professor, Karlsruhe Institute of Technology: Designing User-Adaptive Systems for Digital Workplace Productivity and Well-Being
  • Isabella Seeber, Associate Professor, Grenoble Ecole de Management: Your work colleague in metal pants – how robots influence (or not) our emotions and decision making
  • Rafael Lalive, Professor of Economics, HEC Lausanne, and Johannes Buggle, Assistant Professsor : Automation and Jobs – An Economic Perspective
  • Ulrich Gnewuch, post-doctoral researcher, Karlsruhe Institute of Technology: Design Science Research for the Future of Work: The Case of Human Resource (HR) Chatbots - Workshop



AI/ML/Data science are about to change significantly the future workplace, leading to new challenges and threats.

This CUSO doctoral school aims at discussing the impact of AI/ML on the future of work from two perspectives:

  1. Designing of AI/ML-based solutions for the future workplace: digital assistants, new forms of collaboration between humans and machines, etc.
  2. Understanding the acceptance and adoption of AI/ML in the future workplace: individual and organizational routines, acceptance and adoption of AI/ML in the workplace

Target group will be PhD students and post doctoral researchers from different disciplinary backgrounds, including information systems, human-computer interaction, computer science, etc.


Related literature: 

  • Mädche et al. (2019): AI-based digital assistants – Opportunities, Threats, and Research Perspectives, Business and Information Systems Engineering, 61(4), pp. 535–544 DOI: 10.1007/s12599-019-00600-8
  • Seeber et al. (2020): Machines as teammates: A research agenda on AI in team collaboration, Information & Management, 57(2), DOI: 10.1016/
  • Dellermann et al. (2019): Hybrid Intelligence, Business and Information Systems Engineering, 61(5), pp. 637–643, DOI: 10.1007/s12599-019-00595-2 



This seminar is organized as follows:

  • November 23 and 24 (full day):
    • Keynotes on research topics and different disciplinary perspectives on the field
    • Workshops focusing on IS theories and research methods for studying AI/ML and the Future of Work
  • December tbd (2-3h):
    • Final discussion and poster presentations by participating PhD students (relevant for validation as part of the individual program for PhD students at HEC Lausanne)

Updated and detailed program at this link: 


UNIL, Lausanne


Students will be required to prepare a poster at the end of the seminar.


Internef, bureau 127.3

Tél 021.692.34.32


For last minute registration, please send an email to the organizer.



Deadline for registration 15.11.2021
short-url short URL

short-url URL onepage