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J. Intell.
Special Issues
Generative AI: Reflections on Intelligence and Creativity
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Generative AI: Reflections on Intelligence and Creativity

A special issue of Journal of Intelligence (ISSN 2079-3200).

Deadline for manuscript submissions: closed (8 February 2025) | Viewed by 10862

Special Issue Editors

Prof. Dr. Todd Lubart

E-Mail Website
Guest Editor
LaPEA, Université Paris Cité & Université Gustave Eiffel, F-92100 Boulogne-Billancourt, France
Interests: creativity; definition of creativity; measurement of intelligence; measurement of creativity; relationship between intelligence and creativity
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Giovanni Emanuele Corazza

E-Mail Website
Guest Editor
Marconi Institute for Creativity, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Interests: creativity studies
Prof. Dr. Ronald Beghetto

E-Mail Website
Guest Editor
Mary Lou Fulton Teachers College, Arizona State University, Tempe, AZ 85281, USA
Interests: creative thought; action in educational settings

Special Issue Information

Dear Colleagues,

Generative artificial intelligence marks a new phase in the digital revolution that is transforming people’s everyday lives, impacting the workplace, and changing society. Known through tools such as ChatGPT, Gemini, Claude, MidJourney, Sora, and hundreds of other more specialized systems, generative artificial intelligence is a rapidly expanding applied domain. Algorithms trained on large datasets through advanced computational hardware are able to support humans in diverse tasks involving text, image, sound, and video. These programs produce outputs that correspond, at least for many users, to intelligent and/or creative productions, depending on the given task. In the foreseeable future, agentic reasoning will increase the autonomy of AI algorithms, challenging the present paradigm of human–machine interaction.

This Special Issue is proposed in collaboration with the ISSCI, the International Society for the Study of Creativity and Innovation. It offers the opportunity for scholars from a wide range of disciplines to reflect on the intelligence, creativity, and problem-solving capacities of generative AI systems, across domains or within specific application domains (e.g. engineering, design, law, art, and education). Topics such as the meaning of intelligence or creativity, the degree to which output from generative AI is intelligent or creative, the cognitive processes of such systems compared to human processes, the strengths and weaknesses of these systems, the ethical and sociocultural implications, and the way that human intelligence and creativity may be connected with or impacted by these systems are examples of potential topics relevant to this Special Issue. The types of contributions that can be part of the Special Issue include original empirical research, theoretical frameworks, literature reviews, and position papers.

We welcome authors to submit a brief abstract with a suggested topic for an article, article type (empirical, review, position, or other), authors, and affiliation before 23 June 2024 (Alan Turing’s birthday). The submission of an abstract is for pre-screening and suggestions from the Special Issue editors (this phase is not mandatory).

The deadline for priority processing is 27 November 2024 (date of death of Ada Lovelace).

The final extended deadline is 8 February 2025 (John von Neumann, date of death).

Papers will be processed as received and published (with a note that the paper is part of the Special Issue) in a continuous manner in the Journal of Intelligence. In the end, papers may also be published as a specific reprint form that collects all publication in this Special Issue. Papers are published in open access.

Prof. Dr. Todd Lubart
Prof. Dr. Giovanni Emanuele Corazza
Prof. Dr. Ronald Beghetto
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Intelligence is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • generative artificial intelligence
  • intelligence
  • creativity
  • cyber-creativity
  • intelligent agents
  • ethics

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

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15 pages, 1305 KiB  
Article
Exploring the Impact of Artificial Intelligence on the Creativity Perception of Music Practitioners
by Haixia Ma, Yan Zhang, Xin Shan and Xiaoxi Hu
J. Intell. 2025, 13(4), 47; https://doi.org/10.3390/jintelligence13040047 - 15 Apr 2025
Viewed by 730
Abstract
This study investigates the relationship between artificial intelligence (AI) tools and the creative abilities of music practitioners within the context of globalization and technological advancements that are transforming creative industries. Through a quantitative analysis, the study assesses how AI tool usage influences creative [...] Read more.
This study investigates the relationship between artificial intelligence (AI) tools and the creative abilities of music practitioners within the context of globalization and technological advancements that are transforming creative industries. Through a quantitative analysis, the study assesses how AI tool usage influences creative output. By surveying music practitioners from diverse backgrounds, it captures their experiences and perceptions of AI technologies in music creation. Grounded in cognitive science and diffusion of innovation theories, the research also empirically examines the relationship between AI technology acceptance and creativity perception, while considering the role of socioeconomic factors. Regression analysis was used to explore the relationships between key variables, ensuring robust and reliable results. The results suggest that AI technology acceptance is significantly correlated with creative performance, particularly among individuals with formal music education and experience using music composition software. However, socioeconomic factors such as age, gender, and professional background also influence how extensively AI is utilized in the creative process. These findings provide new insights into AI’s role in creative industries and offer data to inform music education and technology training policies. Full article
(This article belongs to the Special Issue Generative AI: Reflections on Intelligence and Creativity)
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16 pages, 811 KiB  
Article
GenAI Creativity in Narrative Tasks: Exploring New Forms of Creativity
by Florent Vinchon, Valentin Gironnay and Todd Lubart
J. Intell. 2024, 12(12), 125; https://doi.org/10.3390/jintelligence12120125 - 6 Dec 2024
Cited by 2 | Viewed by 1824
Abstract
This study examined generative artificial intelligences (GenAIs), as popularized by ChatGPT, in standardized creativity tests. Benchmarking GenAI against human performance, the results showed that ChatGPT demonstrated remarkable fluency in content generation, though the creative output was average. The random nature of AI creativity [...] Read more.
This study examined generative artificial intelligences (GenAIs), as popularized by ChatGPT, in standardized creativity tests. Benchmarking GenAI against human performance, the results showed that ChatGPT demonstrated remarkable fluency in content generation, though the creative output was average. The random nature of AI creativity and the dependency on the richness of the training database require a reassessment of traditional creativity metrics, especially for AI. Our findings highlight the integral role humans play in guiding AI to foster genuine originality, suggesting the need for future research in human–AI co-creation and the development of robust AI creativity measurement mechanisms. Full article
(This article belongs to the Special Issue Generative AI: Reflections on Intelligence and Creativity)

Review

Jump to: Research, Other

25 pages, 1024 KiB  
Review
AI as a Helper: Leveraging Generative AI Tools Across Common Parts of the Creative Process
by Sudapa Chompunuch and Todd Lubart
J. Intell. 2025, 13(5), 57; https://doi.org/10.3390/jintelligence13050057 - 20 May 2025
Abstract
This study explores Generative Artificial Intelligence (GenAI) applications in creativity. We identify the four most common parts of the creative process: (1) Problem Identification and Framing, (2) Generating ideas, (3) Evaluating ideas, and (4) Deploying and Implementing ideas. We map Generative AI systems [...] Read more.
This study explores Generative Artificial Intelligence (GenAI) applications in creativity. We identify the four most common parts of the creative process: (1) Problem Identification and Framing, (2) Generating ideas, (3) Evaluating ideas, and (4) Deploying and Implementing ideas. We map Generative AI systems into this common part of the creative process. By positioning GenAI as a supportive “AI as a helper”, we propose a structured framework that identifies specific GenAI tools and their capabilities within each common part of the creative process. Through the analysis and demonstration of use cases, this study demonstrates how Generative AI systems facilitate problem identification, generate novel ideas, evaluate ideas, and enhance implementation. We also propose the criteria for evaluating these GenAI systems for each part of the process. Moreover, this study provides insights for researchers and practitioners who are seeking to enhance GenAI’s creative capabilities and human creativity. This study concludes with a discussion of the implications of these illustrative use cases and suggests directions for future research to further advance the use of GenAI. Full article
(This article belongs to the Special Issue Generative AI: Reflections on Intelligence and Creativity)

Other

Jump to: Research, Review

15 pages, 1666 KiB  
Brief Report
When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI
by Vera Eymann, Thomas Lachmann and Daniela Czernochowski
J. Intell. 2025, 13(5), 55; https://doi.org/10.3390/jintelligence13050055 - 16 May 2025
Viewed by 60
Abstract
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, [...] Read more.
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. Full article
(This article belongs to the Special Issue Generative AI: Reflections on Intelligence and Creativity)
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12 pages, 330 KiB  
Essay
Do Not Worry That Generative AI May Compromise Human Creativity or Intelligence in the Future: It Already Has
by Robert J. Sternberg
J. Intell. 2024, 12(7), 69; https://doi.org/10.3390/jintelligence12070069 - 19 Jul 2024
Cited by 9 | Viewed by 5914
Abstract
Technology alters both perceptions of human intelligence and creativity and the actual processes of intelligence and creativity. Skills that were once important for human intelligence, for example, computational ones, no longer hold anywhere near the same importance they did before the age of [...] Read more.
Technology alters both perceptions of human intelligence and creativity and the actual processes of intelligence and creativity. Skills that were once important for human intelligence, for example, computational ones, no longer hold anywhere near the same importance they did before the age of computers. The advantage of computers is that they may lead us to focus on what we believe to be more important things than what they have replaced. In the case of penmanship, spelling, or arithmetic computation, such an argument could bear fruit. But in the case of human creativity, the loss of creative skills and attitudes may be a long-term loss to humanity. Generative AI is replicative. It can recombine and re-sort ideas, but it is not clear that it will generate the kinds of paradigm-breaking ideas the world needs right now to solve the serious problems that confront it, such as global climate change, pollution, violence, increasing income disparities, and creeping autocracy. Full article
(This article belongs to the Special Issue Generative AI: Reflections on Intelligence and Creativity)
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