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Recommendations on the use of artificial intelligence in health promotion.

Authors :
Smith A
Arena R
Bacon SL
Faghy MA
Grazzi G
Raisi A
Vermeesch AL
Ong'wen M
Popovic D
Pronk NP
Source :
Progress in cardiovascular diseases [Prog Cardiovasc Dis] 2024 Oct 09. Date of Electronic Publication: 2024 Oct 09.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

The purpose of this perspective is to provide recommendations on the use of Artificial Intelligence (AI) in health promotion. To arrive at these recommendations, we followed a 6-step process. The first step was to recruit an international authorship team from the Healthy Living for Pandemic Event Protection (HL- PIVOT) network. This enabled us to achieve an international perspective with insights from Canada, Great Britain, Kenya, Italy, and the US. A philosophical inquiry was conducted addressing 5 questions. What should the relationship be between humans and AI in health promotion? How can the public and professionals trust AI? How can we ensure AI is aligned with our values? How can we ensure the ethical use of data by AI? How can we control AI? 4 hypothetical scenarios were also developed to provide perspectives on: i) Artificial 'Versus' Human Intelligence; ii) AI Empowerment in Self-Care; iii) Could AI Improve Patient Provider Relationship; and iii) The Kenyan Cancer Patient at the Height of a Pandemic. Based on the philosophical inquiry and the scenarios 11 recommendations are made by the HL-PIVOT on the use of AI in health promotion. The golden thread running through these recommendations is a human centric approach. The recommendations begin by suggesting that workforce planning should take account of AI. They conclude with the statement that any serious incidents involving an AI in Health Promotion should be reported to the relevant regulatory authority.<br />Competing Interests: Declaration of competing interest No conflicts of interest declared.<br /> (Copyright © 2024. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1873-1740
Database :
MEDLINE
Journal :
Progress in cardiovascular diseases
Publication Type :
Academic Journal
Accession number :
39389332
Full Text :
https://doi.org/10.1016/j.pcad.2024.10.003