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Artificial Intelligence and Public Health: Evaluating ChatGPT Responses to Vaccination Myths and Misconceptions

Authors :
Giovanna Deiana
Marco Dettori
Antonella Arghittu
Antonio Azara
Giovanni Gabutti
Paolo Castiglia
Source :
Vaccines, Vol 11, Iss 7, p 1217 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Artificial intelligence (AI) tools, such as ChatGPT, are the subject of intense debate regarding their possible applications in contexts such as health care. This study evaluates the Correctness, Clarity, and Exhaustiveness of the answers provided by ChatGPT on the topic of vaccination. The World Health Organization’s 11 “myths and misconceptions” about vaccinations were administered to both the free (GPT-3.5) and paid version (GPT-4.0) of ChatGPT. The AI tool’s responses were evaluated qualitatively and quantitatively, in reference to those myth and misconceptions provided by WHO, independently by two expert Raters. The agreement between the Raters was significant for both versions (p of K < 0.05). Overall, ChatGPT responses were easy to understand and 85.4% accurate although one of the questions was misinterpreted. Qualitatively, the GPT-4.0 responses were superior to the GPT-3.5 responses in terms of Correctness, Clarity, and Exhaustiveness (Δ = 5.6%, 17.9%, 9.3%, respectively). The study shows that, if appropriately questioned, AI tools can represent a useful aid in the health care field. However, when consulted by non-expert users, without the support of expert medical advice, these tools are not free from the risk of eliciting misleading responses. Moreover, given the existing social divide in information access, the improved accuracy of answers from the paid version raises further ethical issues.

Details

Language :
English
ISSN :
2076393X
Volume :
11
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Vaccines
Publication Type :
Academic Journal
Accession number :
edsdoj.3f0e349cb7124e5cabf5dda02046d883
Document Type :
article
Full Text :
https://doi.org/10.3390/vaccines11071217