Jungwirth, D.; *, D.H. Artificial Intelligence and Public Health: An Exploratory Study. Int. J. Environ. Res. Public Health2023, 20, 4541.
Jungwirth, D.; *, D.H. Artificial Intelligence and Public Health: An Exploratory Study. Int. J. Environ. Res. Public Health 2023, 20, 4541.
Jungwirth, D.; *, D.H. Artificial Intelligence and Public Health: An Exploratory Study. Int. J. Environ. Res. Public Health2023, 20, 4541.
Jungwirth, D.; *, D.H. Artificial Intelligence and Public Health: An Exploratory Study. Int. J. Environ. Res. Public Health 2023, 20, 4541.
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 feasibility 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 scientific co-author. The AI was asked for input including scientific quotations and the human authors 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 invented by GPT-3 and thus, invalid. Ac-cording to today’s rules, we conclude that AI can contribute to public health research as a team member. Nevertheless, good scientific practice needs to be also followed for AI contributions, and a broad scientific discourse on AI contributions is needed. Policies for good scientific practice should be updated timely following this discourse.
Keywords
ChatGPT; GPT-3; OpenAI; chatbots; digital health; artificial intelligence; automation; technological advancement; human-AI interaction; collaboration; open science
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
