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Ethics Principles for Artificial Intelligence-Based Telemedicine for Public Health
Simona Tiribelli1, Annabelle Monnot1, Syed F H Shah1
1Simona Tiribelli is with the Department of Political Sciences, Communication, and International Relations, University of Macerata, Macerata, Italy, and the Institute for Technology and Global Health, Cambridge, MA. Annabelle Monnot is with Polygeia, Global Health Think Tank, Cambridge, UK. Syed F. H. Shah and Anmol Arora are with the School of Clinical Medicine, University of Cambridge, Cambridge. Ping J. Toong is with the Department of Pathology, University of Cambridge. Sokanha Kong is with the Department of Medical Genetics, University of Cambridge.
Abstract:
The use of artificial intelligence (AI) in the field of telemedicine has grown exponentially over the past decade, along with the adoption of AI-based telemedicine to support public health systems. Although AI-based telemedicine can open up novel opportunities for the delivery of clinical health and care and become a strong aid to public health systems worldwide, it also comes with ethical risks that should be detected, prevented, or mitigated for the responsible use of AI-based telemedicine in and for public health. However, despite the current proliferation of AI ethics frameworks, thus far, none have been developed for the design of AI-based telemedicine, especially for the adoption of AI-based telemedicine in and for public health. We aimed to fill this gap by mapping the most relevant AI ethics principles for AI-based telemedicine for public health and by showing the need to revise them via major ethical themes emerging from bioethics, medical ethics, and public health ethics toward the definition of a unified set of 6 AI ethics principles for the implementation of AI-based telemedicine. (Am J Public Health. 2023;113(5):577-584. https://doi.org/10.2105/AJPH.2023.307225).
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