Ethics Principles for Artificial Intelligence-Based Telemedicine for Public Health.

Tiribelli, Simona; Monnot, Annabelle; Shah, Syed F H; Arora, Anmol; Toong, Ping J; Kong, Sokanha · Am J Public Health · 2023

other · Level V

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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. (<i>Am J Public Health</i>. 2023;113(5):577-584. https://doi.org/10.2105/AJPH.2023.307225).

Medical subject headings