Governance of artificial intelligence and personal health information

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dc.contributor.authorWinter, Jenifer Sunrise
dc.contributor.authorDavidson, Elizabeth
dc.date.accessioned2019-10-07T21:34:30Z
dc.date.available2019-10-07T21:34:30Z
dc.date.issued2019
dc.descriptionPeer-reviewed journal article: Winter, J. S., & Davidson, E. (2019). “Governance of artificial intelligence and personal health information.” Digital Policy, Regulation and Governance (DPRG), 21(3), 280-290. Special issue on “Artificial Intelligence: Beyond the hype?” doi:10.1108/DPRG-08-2018-0048
dc.description.abstractPurpose – 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 – Big data, Governance, Artificial intelligence, Deep learning, Personal health information
dc.format.extent16 pages
dc.identifier.citationWinter, J. S., & Davidson, E. (2019). “Governance of artificial intelligence and personal health information.” Digital Policy, Regulation and Governance (DPRG), 21(3), 280-290. Special issue on “Artificial Intelligence: Beyond the hype?” doi:10.1108/DPRG-08-2018-0048
dc.identifier.doi10.1108/DPRG-08-2018-0048
dc.identifier.urihttp://hdl.handle.net/10125/63439
dc.language.isoen-US
dc.publisherEmerald
dc.subjectbig data
dc.subjectdata governance
dc.subjectartificial intelligence
dc.subjectpersonal health information
dc.subjectdeep learning
dc.titleGovernance of artificial intelligence and personal health information
dc.typeJournal
dc.type.dcmiText
prism.endingpage290
prism.number3
prism.publicationnameDigital Policy, Regulation and Governance
prism.startingpage280
prism.volume21

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