S Naidoo, D Bottomley, M Naidoo, D Donnelly, D W Thaldar
{"title":"医疗保健中的人工智能:南非政策发展建议。","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) outdated legislation; (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":"{\"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) outdated legislation; (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}","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}
Artificial intelligence in healthcare: Proposals for policy development in South Africa.
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.