Governance of artificial intelligence and personal health information

Jenifer Sunrise Winter · Elizabeth Davidson

84 citations0/0 files storedDigital Policy Regulation and Governance

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Digitalization, Law, and Regulation Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education

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.

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References

1990The consequences of modernity 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 2014Big Data's Disparate Impact 2016The Black Box Society: The Secret Algorithms That Control Money and Information 2014Big Data Deep Learning: Challenges and Perspectives 2018The General Data Protection Regulation 2018Working and organizing in the age of the learning algorithm 2009Designing data governance

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2020AI strategy of India: policy framework, adoption challenges and actions for government 2021Artificial Intelligence in the Public Sector - a Research Agenda 2023Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector 2019Personal Data Sharing and Legal Issues of Human Rights in the Era of Artificial Intelligence 2023Local public services and the ethical deployment of artificial intelligence 2022An Assessment of the Barriers Impacting Responsible Artificial Intelligence

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