Discriminative and exploitive stereotypes: Artificial intelligence generated images of aged care nurses and the impacts on recruitment and retention.

Journal: Nursing inquiry
PMID:

Abstract

This article uses critical discourse analysis to investigate artificial intelligence (AI) generated images of aged care nurses and considers how perspectives and perceptions impact upon the recruitment and retention of nurses. The article demonstrates a recontextualization of aged care nursing, giving rise to hidden ideologies including harmful stereotypes which allow for discrimination and exploitation. It is argued that this may imply that nurses require fewer clinical skills in aged care, diminishing the value of working in this area. AI relies on existing data sets, and thus represent existing stereotypes and biases. The discourse analysis has highlighted key issues which may further impact upon nursing recruitment and retention, and advocates for stronger ethical consideration, including the use of experts in data validation, for the way that aged care services and nurses are depicted and thus valued.

Authors

  • Amy-Louise Byrne
    School of Nursing, Midwifery, and Social Sciences, CQUniversity, Brisbane, Queensland, Australia.
  • Jennifer Mulvogue
    School of Nursing, Midwifery, and Social Sciences, CQUniversity, Brisbane, Queensland, Australia.
  • Siju Adhikari
    School of Nursing, Midwifery, and Social Sciences, CQUniversity, Brisbane, Queensland, Australia.
  • Ellie Cutmore
    School of Nursing, Midwifery, and Social Sciences, CQUniversity, Brisbane, Queensland, Australia.