AI and Work (AIW)

Officers

Chair

Karen Jacobs, OT, EdD, OTR, CPE, FAOTA, FHFES, FIEA

Clinical Professor

Program Director, On-line post-professional doctorate in occupational therapy (OTD) program

Boston University

Sargent College of Health and Rehabilitation Sciences

Department of Occupational Therapy

Email: kjacobs@bu.edu

Vice Co-Chair

Melissa Baysari PhD, CHFEP FAIDH

Professor of Human Factors, the University of Sydney

Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery

Sydney Nursing School

Research lead, Digital Health Human Factors Research Group

Email: melissa.baysari@sydney.edu.au

Vice Co-Chair

William Guey, M.Eng. PhD Scholar

Dept. of Industrial Engineering, Tsinghua University

Institute of Human Factors Engineering and Intelligent System Interaction

Email: guijt24@mails.tsinghua.edu.cn

LI: linkedin.com/in/williamguey/

 

Mission

To advance human-centered, safe, ethical, equitable, and effective integration of artificial intelligence in work systems by promoting ergonomics research, practice, education, and evidence-based guidance. The AIW TC champions worker safety, well-being, autonomy, and occupational justice in AI-enabled workplaces across sectors by bridging ergonomics expertise with AI developers, employers, labor, regulators, and interdisciplinary partners.
 

Principles

  • Human-centeredness: prioritize safety, health, dignity, and agency of workers.
  • Evidence-driven: ground guidance in rigorous, transparent methods.
  • Interdisciplinarity: integrate technical, social, and regulatory perspectives.
  • Equity and inclusivity: assess and mitigate disparate impacts.
  • Ethics: responsibility for human rights
  • Transparency and accountability: promote explainability, auditability, and worker recourse.

 

Activities

Early deliverables (first 12 months)

  • Developing a community of practice (meetings every three months)
  • Repository of resources
  • Webinar

Mid deliverables (1-2 years)

  • AIW TC track at the 2027 IEA Congress in London
  • Scoping white paper: Ergonomics of AI in Work (state, gaps, priorities)

 

Disclosure Statement: Generative artificial intelligence (AI) models were used in the preparation of this document to enhance content development and accuracy. All AI-generated content was reviewed, verified, and revised by the author to ensure accuracy and appropriateness.