S Naidoo, D Bottomley, M Naidoo, D Donnelly, D W Thaldar
{"title":"Artificial intelligence in healthcare: Proposals for policy development in South Africa.","authors":"S Naidoo, D Bottomley, M Naidoo, D Donnelly, D W Thaldar","doi":"10.7196/sajbl.2022.v15i1.797","DOIUrl":null,"url":null,"abstract":"<p><p>Despite the tremendous promise offered by artificial intelligence (AI) for healthcare in South Africa, existing policy frameworks are inadequate for encouraging innovation in this field. Practical, concrete and solution-driven policy recommendations are needed to encourage the creation and use of AI systems. This article considers five distinct problematic issues which call for policy development: (<i>i</i>) outdated legislation; (<i>ii</i>) data and algorithmic bias; (<i>iii</i>) the impact on the healthcare workforce; (<i>iv</i>) the imposition of liability dilemma; and (<i>v</i>) a lack of innovation and development of AI systems for healthcare in South Africa. The adoption of a national policy framework that addresses these issues directly is imperative to ensure the uptake of AI development and deployment for healthcare in a safe, responsible and regulated manner.</p>","PeriodicalId":43498,"journal":{"name":"South African Journal of Bioethics and Law","volume":"15 1","pages":"11-16"},"PeriodicalIF":0.5000,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/9e/25/nihms-1810718.PMC9439582.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"South African Journal of Bioethics and Law","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7196/sajbl.2022.v15i1.797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/5/19 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL ETHICS","Score":null,"Total":0}
引用次数: 2
Abstract
Despite the tremendous promise offered by artificial intelligence (AI) for healthcare in South Africa, existing policy frameworks are inadequate for encouraging innovation in this field. Practical, concrete and solution-driven policy recommendations are needed to encourage the creation and use of AI systems. This article considers five distinct problematic issues which call for policy development: (i) outdated legislation; (ii) data and algorithmic bias; (iii) the impact on the healthcare workforce; (iv) the imposition of liability dilemma; and (v) a lack of innovation and development of AI systems for healthcare in South Africa. The adoption of a national policy framework that addresses these issues directly is imperative to ensure the uptake of AI development and deployment for healthcare in a safe, responsible and regulated manner.