-
CiteScore
3.42
Impact Factor
Volume 2, Issue 1, IECE Transactions on Emerging Topics in Artificial Intelligence
Volume 2, Issue 1, 2025
Submit Manuscript Edit a Special Issue
Academic Editor
Aytuğ Onan
Aytuğ Onan
İzmir Katip Celebi University, Turkey
Article QR Code
Article QR Code
Scan the QR code for reading
Popular articles
IECE Transactions on Emerging Topics in Artificial Intelligence, Volume 2, Issue 1, 2025: 36-42

Open Access | Editorial | 27 March 2025
Beyond Hallucination: Generative AI as a Catalyst for Human Creativity and Cognitive Evolution
1 School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122,China
* Corresponding Authors: Weiwei Cai, [email protected] ; Ming Gao, [email protected]
Received: 25 March 2025, Accepted: 26 March 2025, Published: 27 March 2025  
Abstract
This editorial explores the transformative role of generative artificial intelligence (AI) in augmenting human creativity and catalyzing cognitive evolution. Tracing its historical lineage from symbolic AI to transformer-based architectures, this editorial argues that generative AI is not merely a computational tool but a cognitive partner that reshapes our understanding of creativity, perception, and epistemology. The phenomenon of AI hallucination—often dismissed as error—is reframed as a window into the dynamics of both artificial and human cognition. Through technical and philosophical analysis, the paper discusses generative AI’s impact on fields ranging from art and architecture to scientific discovery and education. The article also interrogates the ethical, societal, and metaphysical questions raised by AI-human symbiosis and proposes a vision for a co-evolutionary future beyond hallucination, where creativity emerges from collaboration between minds—both biological and artificial.

Keywords
generative AI
AI hallucination
ethical AI
cognitive evolution

Data Availability Statement
Not applicable.

Funding
This work was supported without any funding.

Conflicts of Interest
The authors declare no conflicts of interest. 

Ethical Approval and Consent to Participate
Not applicable.

References
  1. Jovanovic, M., & Campbell, M. (2022). Generative artificial intelligence: Trends and prospects. Computer, 55(10), 107-112.
    [CrossRef]   [Google Scholar]
  2. Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of information technology case and application research, 25(3), 277-304.
    [CrossRef]   [Google Scholar]
  3. Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192.
    [CrossRef]   [Google Scholar]
  4. Zhang, Y., Li, Y., Cui, L., Cai, D., Liu, L., Fu, T., ... & Shi, S. (2023). Siren's song in the AI ocean: a survey on hallucination in large language models. arXiv preprint arXiv:2309.01219.
    [Google Scholar]
  5. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
    [Google Scholar]
  6. Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., ... & McGrew, B. (2023). Gpt-4 technical report. arXiv preprint arXiv:2303.08774.
    [Google Scholar]
  7. Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., ... & Zhang, Y. (2023). Sparks of Artificial General Intelligence: Early experiments with GPT-4. arXiv preprint arXiv:2303.12712.
    [Google Scholar]
  8. Hagendorff, T. (2024). Mapping the ethics of generative ai: A comprehensive scoping review. Minds and Machines, 34(4), 39.
    [CrossRef]   [Google Scholar]
  9. Jesson, A., Beltran Velez, N., Chu, Q., Karlekar, S., Kossen, J., Gal, Y., ... & Blei, D. (2024). Estimating the hallucination rate of generative ai. Advances in Neural Information Processing Systems, 37, 31154-31201.
    [Google Scholar]
  10. Maleki, N., Padmanabhan, B., & Dutta, K. (2024, June). AI hallucinations: a misnomer worth clarifying. In 2024 IEEE conference on artificial intelligence (CAI) (pp. 133-138). IEEE.
    [CrossRef]   [Google Scholar]

Cite This Article
APA Style
Cai, W., & Gao, M. (2025). Beyond Hallucination: Generative AI as a Catalyst for Human Creativity and Cognitive Evolution. IECE Transactions on Emerging Topics in Artificial Intelligence, 2(1), 36–42. https://doi.org/10.62762/TETAI.2025.657559

Article Metrics
Citations:

Crossref

0

Scopus

0

Web of Science

0
Article Access Statistics:
Views: 475
PDF Downloads: 45

Publisher's Note
IECE stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions
CC BY Copyright © 2025 by the Author(s). Published by Institute of Emerging and Computer Engineers. 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/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
IECE Transactions on Emerging Topics in Artificial Intelligence

IECE Transactions on Emerging Topics in Artificial Intelligence

ISSN: 3066-1676 (Online) | ISSN: 3066-1668 (Print)

Email: [email protected]

Portico

Portico

All published articles are preserved here permanently:
https://www.portico.org/publishers/iece/

Copyright © 2025 Institute of Emerging and Computer Engineers Inc.