Artificial intelligence in healthcare: Proposals for policy development in South Africa

被引:0
|
作者
Naidoo, S. [1 ]
Bottomley, D. [1 ]
Naidoo, M. [1 ]
Donnelly, D. [1 ]
Thaldar, D. W. [1 ]
机构
[1] Univ KwaZulu Natal, Coll Law & Management Studies, Sch Law, Durban, South Africa
关键词
D O I
10.7196/SAJBL.2022.v15i1.797
中图分类号
R-052 [医学伦理学];
学科分类号
0101 ; 120402 ;
摘要
Despite the tremendous promise offered by artificial intelligence (Al) 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 Al 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 This article considers five distinct problematic issues which call for policy development: (i) outdated legislation; (ii) data and algorithmic bias; (iii) the impact on the healthcare workforce; (iv) the imposition of liability dilemma; and (v) a lack of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 Al 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 Al development and deployment for healthcare in a safe, responsible and regulated manner.
引用
收藏
页码:11 / 16
页数:6
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