Governance of artificial intelligence and personal health information
Digital Policy, Regulation and Governance
ISSN: 2398-5038
Article publication date: 12 February 2019
Issue publication date: 17 July 2019
Abstract
Purpose
This paper aims to assess the increasing challenges to governing the personal health information (PHI) essential for advancing artificial intelligence (AI) machine learning innovations in health care. Risks to privacy and justice/equity are discussed, along with potential solutions.
Design/methodology/approach
This conceptual paper highlights the scale and scope of PHI data consumed by deep learning algorithms and their opacity as novel challenges to health data governance.
Findings
This paper argues that these characteristics of machine learning will overwhelm existing data governance approaches such as privacy regulation and informed consent. Enhanced governance techniques and tools will be required to help preserve the autonomy and rights of individuals to control their PHI. Debate among all stakeholders and informed critique of how, and for whom, PHI-fueled health AI are developed and deployed are needed to channel these innovations in societally beneficial directions.
Social implications
Health data may be used to address pressing societal concerns, such as operational and system-level improvement, and innovations such as personalized medicine. This paper informs work seeking to harness these resources for societal good amidst many competing value claims and substantial risks for privacy and security.
Originality/value
This is the first paper focusing on health data governance in relation to AI/machine learning.
Keywords
Citation
Winter, J.S. and Davidson, E. (2019), "Governance of artificial intelligence and personal health information", Digital Policy, Regulation and Governance, Vol. 21 No. 3, pp. 280-290. https://doi.org/10.1108/DPRG-08-2018-0048
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited