Amy-Louise Byrne, Jennifer Mulvogue, Siju Adhikari, Ellie Cutmore
{"title":"Discriminative and exploitive stereotypes: Artificial intelligence generated images of aged care nurses and the impacts on recruitment and retention.","authors":"Amy-Louise Byrne, Jennifer Mulvogue, Siju Adhikari, Ellie Cutmore","doi":"10.1111/nin.12651","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":49727,"journal":{"name":"Nursing Inquiry","volume":" ","pages":"e12651"},"PeriodicalIF":2.2000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Inquiry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/nin.12651","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Nursing Inquiry aims to stimulate examination of nursing''s current and emerging practices, conditions and contexts within an expanding international community of ideas.
The journal aspires to excite thinking and stimulate action toward a preferred future for health and healthcare by encouraging critical reflection and lively debate on matters affecting and influenced by nursing from a range of disciplinary angles, scientific perspectives, analytic approaches, social locations and philosophical positions.