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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: [email protected]
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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
Type
Symposium
Information
Journal of Law, Medicine & Ethics , First View , pp. 1 - 5
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of American Society of Law, Medicine & Ethics

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