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

Author:

Byrne Amy‐Louise1ORCID,Mulvogue Jennifer1ORCID,Adhikari Siju1ORCID,Cutmore Ellie1ORCID

Affiliation:

1. School of Nursing, Midwifery, and Social Sciences CQUniversity Brisbane Queensland Australia

Abstract

AbstractThis 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.

Publisher

Wiley

Reference57 articles.

1. Migrant Care Workers’ Perceptions of Their Working Conditions in Australian Residential Aged Care Facilities

2. Exploring undergraduate nursing students' perceptions of working in aged care settings: A review of the literature

3. Moral Distress and Privatisation: Lost in Neoliberal Transition

4. Actual and projected gaps in the provision of residential aged care in New South Wales, Australia

5. Australian Bureau of Statistics. (2022).A caring nation – 15 per cent of Australia's workforce in Health Care and Social Assistance industry.https://www.abs.gov.au/media-centre/media-releases/caring-nation-15-cent-australias-workforce-health-care-and-social-assistance-industry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3