Technology Health Law Issues: Regulation of AI in Healthcare: A cautionary tale considering horses and zebras
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Date
2021-07-26
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
The introduction of Artificial Intelligence into healthcare has been accompanied by uncertaintities and regulatory challenges. The establishment of a regulatory framework around AI in health is in its infancy and the way forward is unclear. There are those who argue that this represents a concerning regulatory gap, whilst others assert that existing regulatory frameworks, policies and guidelines are sufficient. We argue that perhaps the reality is somewhere in between, but that there is a need for engagement with principles and guidelines to inform future regulation. This cannot, however, be done effectively until there is more clarity around the reality of AI in health and common misconceptions are addressed. This paper explores some of these misconceptions and argues for a principled approach to the regulation of AI in health.
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Publication status
published
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Journal / series
Volume
28 (3)
Pages / Article No.
645 - 654
Publisher
Thomson Reuters
Event
Edition / version
Methods
Software
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Date collected
Date created
Subject
Law; healthcare; Technology; regulatory policy
Organisational unit
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)