When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI

Within the last years, generative artificial intelligence (AI) has not only entered the field of creativity; it might even be marking a turning point for some creative domains. This raises the question of whether AI also poses a turning point for scientific creativity, which comprises the ability to...

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Main Authors: Vera Eymann, Thomas Lachmann, Daniela Czernochowski
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Journal of Intelligence
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Online Access:https://www.mdpi.com/2079-3200/13/5/55
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author Vera Eymann
Thomas Lachmann
Daniela Czernochowski
author_facet Vera Eymann
Thomas Lachmann
Daniela Czernochowski
author_sort Vera Eymann
collection DOAJ
description Within the last years, generative artificial intelligence (AI) has not only entered the field of creativity; it might even be marking a turning point for some creative domains. This raises the question of whether AI also poses a turning point for scientific creativity, which comprises the ability to develop new ideas or methodological approaches in science. In this study, we use a new scientific creativity task to investigate the extent to which AI—in this case, ChatGPT-4—can generate creative ideas in a scientific context. Specifically, we compare AI-generated responses with those of graduate students in terms of their ability to generate scientific hypotheses, design experiments, and justify their ideas for a fictitious research scenario in the field of experimental psychology. We asked students to write and prompted ChatGPT to generate a brief version of a research proposal containing four separate assignments (i.e., formulating a hypothesis, designing an experiment, listing the required equipment, and justifying the chosen method). Using a structured (blinded) rating, two experts from the field evaluated students’ research proposals and proposals generated by ChatGPT in terms of their scientific creativity. Our results indicate that ChatGPT received significantly higher overall scores, but even more crucially exceeded students in sub-scores measuring originality or meaningfulness of the ideas. In addition to a statistical evaluation, we qualitatively assess our data providing a more detailed report in regards to subtle differences between students’ and AI-generated responses. Lastly, we discuss challenges and provide potential future directions for the field.
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spelling doaj-art-5c367494bfb9455983a16bf56ed8f86d2025-08-20T02:33:47ZengMDPI AGJournal of Intelligence2079-32002025-05-011355510.3390/jintelligence13050055When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AIVera Eymann0Thomas Lachmann1Daniela Czernochowski2Center for Cognitive Science, University of Kaiserslautern-Landau (RPTU), 67663 Kaiserslautern, GermanyCenter for Cognitive Science, University of Kaiserslautern-Landau (RPTU), 67663 Kaiserslautern, GermanyCenter for Cognitive Science, University of Kaiserslautern-Landau (RPTU), 67663 Kaiserslautern, GermanyWithin the last years, generative artificial intelligence (AI) has not only entered the field of creativity; it might even be marking a turning point for some creative domains. This raises the question of whether AI also poses a turning point for scientific creativity, which comprises the ability to develop new ideas or methodological approaches in science. In this study, we use a new scientific creativity task to investigate the extent to which AI—in this case, ChatGPT-4—can generate creative ideas in a scientific context. Specifically, we compare AI-generated responses with those of graduate students in terms of their ability to generate scientific hypotheses, design experiments, and justify their ideas for a fictitious research scenario in the field of experimental psychology. We asked students to write and prompted ChatGPT to generate a brief version of a research proposal containing four separate assignments (i.e., formulating a hypothesis, designing an experiment, listing the required equipment, and justifying the chosen method). Using a structured (blinded) rating, two experts from the field evaluated students’ research proposals and proposals generated by ChatGPT in terms of their scientific creativity. Our results indicate that ChatGPT received significantly higher overall scores, but even more crucially exceeded students in sub-scores measuring originality or meaningfulness of the ideas. In addition to a statistical evaluation, we qualitatively assess our data providing a more detailed report in regards to subtle differences between students’ and AI-generated responses. Lastly, we discuss challenges and provide potential future directions for the field.https://www.mdpi.com/2079-3200/13/5/55artificial intelligencescientific creativitycreativityintelligenceChatGPT
spellingShingle Vera Eymann
Thomas Lachmann
Daniela Czernochowski
When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
Journal of Intelligence
artificial intelligence
scientific creativity
creativity
intelligence
ChatGPT
title When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
title_full When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
title_fullStr When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
title_full_unstemmed When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
title_short When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
title_sort when chatgpt writes your research proposal scientific creativity in the age of generative ai
topic artificial intelligence
scientific creativity
creativity
intelligence
ChatGPT
url https://www.mdpi.com/2079-3200/13/5/55
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