Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Ethical Issues in AI-enabled Disease Surveillance: Perspectives from Global Health

Version 1 : Received: 17 February 2022 / Approved: 18 February 2022 / Online: 18 February 2022 (10:36:04 CET)

A peer-reviewed article of this Preprint also exists.

Borda, A.; Molnar, A.; Neesham, C.; Kostkova, P. Ethical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health. Appl. Sci. 2022, 12, 3890. Borda, A.; Molnar, A.; Neesham, C.; Kostkova, P. Ethical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health. Appl. Sci. 2022, 12, 3890.

Journal reference: Appl. Sci. 2022, 12, 3890
DOI: 10.3390/app12083890

Abstract

Infectious diseases, as COVID-19 is proving, pose a global health threat in an interconnected world. In the last 20 years, resistant infectious diseases such as SARS, MERS, H1N1, Ebola, Zika and now COVID-19 have been impacting global health defences, and aggressively flourishing within the rise of global travel, urbanization, climate change and ecological degradation. In parallel, this extraordinary episode in global human health highlights the potential for artificial intelligence (AI)-enabled disease surveillance to collect and analyse vast amounts of unstructured and real-time data to inform epidemiological and public health emergency responses. The uses of AI in these dynamic environments are increasingly complex, challenging the potential for human autonomous decisions. In this context, our study of qualitative perspectives will consider a responsible AI framework to explore its potential application to disease surveillance in a global health context. Thus far, there is a gap in the literature in considering these multiple and interconnected levels of disease surveillance and emergency health management through the lens of a responsible AI framework.

Keywords

AI; disease surveillance; pandemics; global public health; ethics

Subject

SOCIAL SCIENCES, Other

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