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AI and Data Surveillance: Embedding a Human Rights-based Approach

Published online by Cambridge University Press:  14 April 2025

Tsung-Ling Lee ,
Sharifah Sekalala  and
Pedro Villarreal
Tsung-Ling Lee*
Affiliation:
Graduate Institute of Health and Biotechnology Law, Taipei Medical University, Taipei City, Taiwan
Sharifah Sekalala
Affiliation:
University of Warwick School of Law, Coventry, England, United Kingdom of Great Britain and Northern Ireland
Pedro Villarreal
Affiliation:
Max-Planck-Institute for Comparative Public Law and International Law, Heidelberg, BW, Germany
*
Corresponding author: Tsung-Ling Lee; Email: tl265@georgetown.edu
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Abstract

Artificial Intelligence (AI) has the potential to revolutionize public health surveillance by analyzing large datasets to detect outbreaks. However, privacy, consent, and governance issues persist. While the International Health Regulations do not explicitly mention the use of AI in infectious disease surveillance, transparent processes, accountability, and public trust are key for responsibly integrating AI in pandemic preparedness.

Keywords

artifical intelligencepublic health survillencedata surveillanceInternational Health Regulationshuman rights

Information

Type
Symposium Articles
Information
Journal of Law, Medicine & Ethics , Volume 53 , Issue S1: 10 Years of Global Health Law , Spring 2025 , pp. 70 - 74
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of American Society of Law, Medicine & Ethics

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