Cargando…
Artificial Intelligence and Public Health: An Exploratory Study
Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this exploratory study. We utilized the “text-davin...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002031/ https://www.ncbi.nlm.nih.gov/pubmed/36901550 http://dx.doi.org/10.3390/ijerph20054541 |
_version_ | 1784904290421178368 |
---|---|
author | Jungwirth, David Haluza, Daniela |
author_facet | Jungwirth, David Haluza, Daniela |
author_sort | Jungwirth, David |
collection | PubMed |
description | Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this exploratory study. We utilized the “text-davinci-003” model of GPT-3, using OpenAI playground default parameters. The model was trained with the largest training dataset any AI had, limited to a cut-off date in 2021. This study aimed to test the ability of GPT-3 to advance public health and to explore the feasibility of using AI as a scientific co-author. We asked the AI asked for structured input, including scientific quotations, and reviewed responses for plausibility. We found that GPT-3 was able to assemble, summarize, and generate plausible text blocks relevant for public health concerns, elucidating valuable areas of application for itself. However, most quotations were purely invented by GPT-3 and thus invalid. Our research showed that AI can contribute to public health research as a team member. According to authorship guidelines, the AI was ultimately not listed as a co-author, as it would be done with a human researcher. We conclude that good scientific practice also needs to be followed for AI contributions, and a broad scientific discourse on AI contributions is needed. |
format | Online Article Text |
id | pubmed-10002031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100020312023-03-11 Artificial Intelligence and Public Health: An Exploratory Study Jungwirth, David Haluza, Daniela Int J Environ Res Public Health Article Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this exploratory study. We utilized the “text-davinci-003” model of GPT-3, using OpenAI playground default parameters. The model was trained with the largest training dataset any AI had, limited to a cut-off date in 2021. This study aimed to test the ability of GPT-3 to advance public health and to explore the feasibility of using AI as a scientific co-author. We asked the AI asked for structured input, including scientific quotations, and reviewed responses for plausibility. We found that GPT-3 was able to assemble, summarize, and generate plausible text blocks relevant for public health concerns, elucidating valuable areas of application for itself. However, most quotations were purely invented by GPT-3 and thus invalid. Our research showed that AI can contribute to public health research as a team member. According to authorship guidelines, the AI was ultimately not listed as a co-author, as it would be done with a human researcher. We conclude that good scientific practice also needs to be followed for AI contributions, and a broad scientific discourse on AI contributions is needed. MDPI 2023-03-03 /pmc/articles/PMC10002031/ /pubmed/36901550 http://dx.doi.org/10.3390/ijerph20054541 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jungwirth, David Haluza, Daniela Artificial Intelligence and Public Health: An Exploratory Study |
title | Artificial Intelligence and Public Health: An Exploratory Study |
title_full | Artificial Intelligence and Public Health: An Exploratory Study |
title_fullStr | Artificial Intelligence and Public Health: An Exploratory Study |
title_full_unstemmed | Artificial Intelligence and Public Health: An Exploratory Study |
title_short | Artificial Intelligence and Public Health: An Exploratory Study |
title_sort | artificial intelligence and public health: an exploratory study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002031/ https://www.ncbi.nlm.nih.gov/pubmed/36901550 http://dx.doi.org/10.3390/ijerph20054541 |
work_keys_str_mv | AT jungwirthdavid artificialintelligenceandpublichealthanexploratorystudy AT haluzadaniela artificialintelligenceandpublichealthanexploratorystudy |