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

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

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BORIS DOI
10.48350/185126
Publisher DOI
10.3390/vaccines11071217
PubMed ID
37515033
Description
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.
Date of Publication
2023-07-07
Publication Type
article
Subject(s)
600 - Technology::610 - Medicine & health
Keyword(s)
ChatGPT artificial intelligence immunization myths and misconceptions public health vaccines
Language(s)
en
Contributor(s)
Deiana, Giovanna
Dettori, Marco
Arghittu, Antonella
Azara, Antonio
Gabutti, Giovanni
Castiglia, Paolo
Series
Vaccines
Publisher
MDPI
ISSN
2076-393X
Access(Rights)
open.access
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