1. Project directory
  2. Partnership on AI and Quality of work (PAIQ)

Workplace data collection cluster

Purpose

The purpose of the PAIQ workplace data collection cluster is to conduct qualitative research, such as field studies, within workplaces where AI is adopted to understand how workers interact with AI and AI’s impact on worker wellbeing.

Expected outcomes

This cluster aims to conduct up to six qualitative workplace case studies in industries with high AI adoption rates such as healthcare, manufacturing, and sales and service. Case studies will offer tangible examples of AI benefits and harms for workers, as well as recommendations for organizations to help them address potential changes in job quality and incorporate workers and worker wellbeing into the implementation of AI as a part of work.

This website will present findings from the case studies as they become available. 

Key activities

  • Conduct qualitative research, such as fieldwork, in up to six AI-intensive workplaces to examine how AI reshapes organizational processes, and worker experiences.  
  • Use qualitative methods to unpack AI’s impact on job quality and wellbeing.  
  • Engage employer and union partners in study design, data analysis, and case study development to translate findings into actionable recommendations.
  • Analyze findings from the Analytical Cluster and Evidence Observatory to refine understanding of AI’s workplace effects. 

Research team

Chairs and research leads

  • Jenna Myers, University of Toronto
  • Paula Rowland, University of Toronto
  • Daniyal Zuberi, University of Toronto

Confirmed members

  • Jules Arntz-Grey, Ontario Ministry of Labour, Immigration, Training and Skills Development
  • Victoria Arrandale, University of Toronto
  • Ananya Banerjee, McGill University
  • Brent Barron, Canadian Institute for Advanced Research  
  • Karina Bold, University of Toronto
  • Silvia Bonaccio, University of Ottawa
  • Wendy Cukier, Diversity Institute at Toronto Metropolitan University
  • Glenn Cullen, Public Services Health & Safety Association  
  • Mathiew Dupuis, Université Laval
  • Daniela Gatti, University of Toronto
  • Monique Gignac, Institute for Work & Health
  • Brian Hodges, University Health Network  
  • Pamela Hopwood, University of Waterloo
  • Hector Hurtado, University of Toronto
  • Kiran Kapoor, Workplace Safety & Prevention Services
  • Naimul Khan, Toronto Metropolitan University
  • Vicki Kristman, EPID@Work at Lakehead University
  • Muhammad Mamdani, University of Toronto
  • Shawn Meikle, University of Toronto
  • Elizabeth Nguyen, Workplace Safety and Insurance Board
  • Kimberly O’Connell, Occupational Health Clinics for Ontario Workers Inc.  
  • Andrew Pinto, Upstream Lab
  • Jay Shaw, University of Toronto
  • Peter Smith, Institute for Work & Health
  • Maxwell Smith, Western University
  • Gabrielle Voiseux, University of British Columbia  
  • Nicole Ka Wu, University of Toronto

Coordinator

Leslie Vesely, Institute for Work & Health