Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis

Fuente: arXiv
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Main Authors: Chakraborty, Attrayee, Karhade, Mandar
Format: Preprint
Published: 2024
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author Chakraborty, Attrayee
Karhade, Mandar
author_facet Chakraborty, Attrayee
Karhade, Mandar
contents Artificial Intelligence (AI) is being adopted across the world and promises a new revolution in healthcare. While AI-enabled medical devices in North America dominate 42.3% of the global market, the use of AI-enabled medical devices in other countries is still a story waiting to be unfolded. We aim to delve deeper into global regulatory approaches towards AI use in healthcare, with a focus on how common themes are emerging globally. We compare these themes to the World Health Organization's (WHO) regulatory considerations and principles on ethical use of AI for healthcare applications. Our work seeks to take a global perspective on AI policy by analyzing 14 legal jurisdictions including countries representative of various regions in the world (North America, South America, South East Asia, Middle East, Africa, Australia, and the Asia-Pacific). Our eventual goal is to foster a global conversation on the ethical use of AI in healthcare and the regulations that will guide it. We propose solutions to promote international harmonization of AI regulations and examine the requirements for regulating generative AI, using China and Singapore as examples of countries with well-developed policies in this area.
format Preprint
id arxiv_https___arxiv_org_abs_2406_08695
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
Chakraborty, Attrayee
Karhade, Mandar
Computers and Society
Artificial Intelligence
Machine Learning
K.4.1, K.6, K.5.2, J.3
Artificial Intelligence (AI) is being adopted across the world and promises a new revolution in healthcare. While AI-enabled medical devices in North America dominate 42.3% of the global market, the use of AI-enabled medical devices in other countries is still a story waiting to be unfolded. We aim to delve deeper into global regulatory approaches towards AI use in healthcare, with a focus on how common themes are emerging globally. We compare these themes to the World Health Organization's (WHO) regulatory considerations and principles on ethical use of AI for healthcare applications. Our work seeks to take a global perspective on AI policy by analyzing 14 legal jurisdictions including countries representative of various regions in the world (North America, South America, South East Asia, Middle East, Africa, Australia, and the Asia-Pacific). Our eventual goal is to foster a global conversation on the ethical use of AI in healthcare and the regulations that will guide it. We propose solutions to promote international harmonization of AI regulations and examine the requirements for regulating generative AI, using China and Singapore as examples of countries with well-developed policies in this area.
title Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
topic Computers and Society
Artificial Intelligence
Machine Learning
K.4.1, K.6, K.5.2, J.3
url https://arxiv.org/abs/2406.08695