Artificial Intelligence and Public Health: An Exploratory Study. Jungwirth, D. & Haluza, D. International journal of environmental research and public health, March, 2023. ![Artificial Intelligence and Public Health: An Exploratory Study. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{jungwirth_artificial_2023,
title = {Artificial {Intelligence} and {Public} {Health}: {An} {Exploratory} {Study}.},
volume = {20},
url = {https://www.proquest.com/scholarly-journals/artificial-intelligence-public-health-exploratory/docview/2786101956/se-2?accountid=14542},
doi = {10.3390/ijerph20054541},
abstract = {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.},
language = {English},
number = {5},
journal = {International journal of environmental research and public health},
author = {Jungwirth, David and Haluza, Daniela},
month = mar,
year = {2023},
keywords = {*Artificial Intelligence, *Public Health, Accountability, artificial intelligence, Artificial intelligence, automation, Automation, chatbots, ChatGPT, Co authorship, collaboration, Collaboration, Data analysis, Data Analysis, digital health, Education, GPT-3, human-AI interaction, Humans, Index Medicus, Information retrieval, Knowledge, Medical research, Natural language, open science, OpenAI, Parks, Recreational, Playgrounds, Public health, Sciences: Comprehensive Works, technological advancement},
annote = {Copyright - © 2023 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.},
annote = {Fecha de creación - 2023-03-11},
annote = {Fecha de revisión - 2023-03-14},
annote = {Nombre - OpenAI},
annote = {SuppNotes - Conflict of Interest: The authors declare no conflicts of interest. Cited By: Int J Med Inform. 2019 Dec;132:103978 [31622850] Int J Environ Res Public Health. 2023 Jan 09;20(2): [36673913] Int J Environ Res Public Health. 2022 Sep 21;19(19): [36231208] Ann Biomed Eng. 2023 Feb;51(2):291-295 [36572824] Health Informatics J. 2019 Mar;25(1):161-173 [28438103] Cell Mol Bioeng. 2023 Jan 2;16(1):1-2 [36660590] Healthc Inform Res. 2020 Oct;26(4):255-264 [33190459] AI Soc. 2022;37(4):1439-1457 [34667374] Clin Transl Sci. 2022 Feb;15(2):309-321 [34706145]},
annote = {Última actualización - 2023-03-10},
annote = {Última actualización - 2023-03-14},
}
Downloads: 0
{"_id":"XQse5gtQRmPNfFh7d","bibbaseid":"jungwirth-haluza-artificialintelligenceandpublichealthanexploratorystudy-2023","author_short":["Jungwirth, D.","Haluza, D."],"bibdata":{"bibtype":"article","type":"article","title":"Artificial Intelligence and Public Health: An Exploratory Study.","volume":"20","url":"https://www.proquest.com/scholarly-journals/artificial-intelligence-public-health-exploratory/docview/2786101956/se-2?accountid=14542","doi":"10.3390/ijerph20054541","abstract":"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.","language":"English","number":"5","journal":"International journal of environmental research and public health","author":[{"propositions":[],"lastnames":["Jungwirth"],"firstnames":["David"],"suffixes":[]},{"propositions":[],"lastnames":["Haluza"],"firstnames":["Daniela"],"suffixes":[]}],"month":"March","year":"2023","keywords":"*Artificial Intelligence, *Public Health, Accountability, artificial intelligence, Artificial intelligence, automation, Automation, chatbots, ChatGPT, Co authorship, collaboration, Collaboration, Data analysis, Data Analysis, digital health, Education, GPT-3, human-AI interaction, Humans, Index Medicus, Information retrieval, Knowledge, Medical research, Natural language, open science, OpenAI, Parks, Recreational, Playgrounds, Public health, Sciences: Comprehensive Works, technological advancement","annote":"Última actualización - 2023-03-14","bibtex":"@article{jungwirth_artificial_2023,\n\ttitle = {Artificial {Intelligence} and {Public} {Health}: {An} {Exploratory} {Study}.},\n\tvolume = {20},\n\turl = {https://www.proquest.com/scholarly-journals/artificial-intelligence-public-health-exploratory/docview/2786101956/se-2?accountid=14542},\n\tdoi = {10.3390/ijerph20054541},\n\tabstract = {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.},\n\tlanguage = {English},\n\tnumber = {5},\n\tjournal = {International journal of environmental research and public health},\n\tauthor = {Jungwirth, David and Haluza, Daniela},\n\tmonth = mar,\n\tyear = {2023},\n\tkeywords = {*Artificial Intelligence, *Public Health, Accountability, artificial intelligence, Artificial intelligence, automation, Automation, chatbots, ChatGPT, Co authorship, collaboration, Collaboration, Data analysis, Data Analysis, digital health, Education, GPT-3, human-AI interaction, Humans, Index Medicus, Information retrieval, Knowledge, Medical research, Natural language, open science, OpenAI, Parks, Recreational, Playgrounds, Public health, Sciences: Comprehensive Works, technological advancement},\n\tannote = {Copyright - © 2023 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.},\n\tannote = {Fecha de creación - 2023-03-11},\n\tannote = {Fecha de revisión - 2023-03-14},\n\tannote = {Nombre - OpenAI},\n\tannote = {SuppNotes - Conflict of Interest: The authors declare no conflicts of interest. Cited By: Int J Med Inform. 2019 Dec;132:103978 [31622850] Int J Environ Res Public Health. 2023 Jan 09;20(2): [36673913] Int J Environ Res Public Health. 2022 Sep 21;19(19): [36231208] Ann Biomed Eng. 2023 Feb;51(2):291-295 [36572824] Health Informatics J. 2019 Mar;25(1):161-173 [28438103] Cell Mol Bioeng. 2023 Jan 2;16(1):1-2 [36660590] Healthc Inform Res. 2020 Oct;26(4):255-264 [33190459] AI Soc. 2022;37(4):1439-1457 [34667374] Clin Transl Sci. 2022 Feb;15(2):309-321 [34706145]},\n\tannote = {Última actualización - 2023-03-10},\n\tannote = {Última actualización - 2023-03-14},\n}\n\n","author_short":["Jungwirth, D.","Haluza, D."],"key":"jungwirth_artificial_2023","id":"jungwirth_artificial_2023","bibbaseid":"jungwirth-haluza-artificialintelligenceandpublichealthanexploratorystudy-2023","role":"author","urls":{"Paper":"https://www.proquest.com/scholarly-journals/artificial-intelligence-public-health-exploratory/docview/2786101956/se-2?accountid=14542"},"keyword":["*Artificial Intelligence","*Public Health","Accountability","artificial intelligence","Artificial intelligence","automation","Automation","chatbots","ChatGPT","Co authorship","collaboration","Collaboration","Data analysis","Data Analysis","digital health","Education","GPT-3","human-AI interaction","Humans","Index Medicus","Information retrieval","Knowledge","Medical research","Natural language","open science","OpenAI","Parks","Recreational","Playgrounds","Public health","Sciences: Comprehensive Works","technological advancement"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/network/files/22WYpzbBvi3hDHX7Y","dataSources":["cYu6uhMkeFHgRrEty","hLMh7bwHyFsPNWAEL","LKW3iRvnztCpLNTW7","TLD9JxqHfSQQ4r268","X9BvByJrC3kGJexn8","iovNvcnNYDGJcuMq2","NjZJ5ZmWhTtMZBfje"],"keywords":["*artificial intelligence","*public health","accountability","artificial intelligence","artificial intelligence","automation","automation","chatbots","chatgpt","co authorship","collaboration","collaboration","data analysis","data analysis","digital health","education","gpt-3","human-ai interaction","humans","index medicus","information retrieval","knowledge","medical research","natural language","open science","openai","parks","recreational","playgrounds","public health","sciences: comprehensive works","technological advancement"],"search_terms":["artificial","intelligence","public","health","exploratory","study","jungwirth","haluza"],"title":"Artificial Intelligence and Public Health: An Exploratory Study.","year":2023}