Is Delulu the New Trululu? Artificial Intelligence Hallucinations as Input in the Creative Process

Authors

DOI:

https://doi.org/10.34619/jwrp-nbht

Keywords:

creativity, creativity studies, computational creativity, artificial intelligence, artificial intelligence hallucinations

Abstract

From Gods to mere mortals, creativity has been studied throughout the last decades as an intrinsic human capability of bringing something into existence. When computers are added to the equation, discussion arises. Numerous authors have defended the inexistence of computational creativity. However, if we consider the rise of Artificial Intelligence (AI), and focus on the cases of hallucinations in artistic creation, can AI hallucinations constitute a creative input into the creative process alongside a human agent? The present work proposes a literature review to understand what creativity means, if the phenomena of hallucinations can be considered creative by themselves and if they can serve the creative process. Here, it is shown that AI hallucinations can be creative and can be an input in the process of artistic creation under the artist’s appreciation. This paper offers another point of view in favour of computational creativity, that aims to contribute to a fruitful interaction between artists and AI.

Author Biography

João G. Patrício, ICNOVA — NOVA Institute of Communication, Portugal NOVA University Lisbon, School of Social Sciences and Humanities

João G. Patrício is a researcher currently pursuing a PhD in Digital Media at Universidade Nova de Lisboa, focusing on the intersection of fashion design, generative artificial intelligence, and creativity studies. He holds a Master’s in Digital Marketing from Universidad de Salamanca and IME Business School, and a Master’s in Communication, Culture, and Information Technology from ISCTE. With professional expertise in SEO and Creative Industries, he explores the evolving relationship between technology and media. João has authored works on SEO and Semantic Web in the context of online journalism and served as an invited professor at Universidad de Salamanca.

References

Agüera y Arcas, Blaise. 2017. “Art in the Age of Machine Intelligence.” Arts 6 (4): 18. https://doi.org/10.3390/ arts6040018.

Associação para a Promoção e o Desenvolvimento da Sociedade de Informação. 2023. “Conferência Inteligência Artificial e a Arte.” YouTube vídeo, 5 de novembro de 2023, 06:19. https://www.youtube.com/ watch?v=AodJ7Wiy2uI.

Beira, João, Cardoso, Inês, Guerra, Ana, & Machado, Penousal. 2023. Pode a criatividade ser não humana?

Conference Session. Inteligência Artificial e a Arte, Lisbon, Portugal. https://www.youtube.com/ watch?v=AodJ7Wiy2uI

Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. ‘On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ’. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. Virtual Event Canada: ACM. https://doi. org/10.1145/3442188.3445922.

Benjamin, Walter. 2008. The Work of Art in the Age of Mechanical Reproduction. London: Penguin Books. Boden, Margaret A. 2004. The Creative Mind: Myths and Mechanisms. 2nd ed. London ; New York: Routledge.

Broeckmann, Andreas. 2019. “The Machine as Artist as Myth.” Arts 8 (1): 25. https://doi.org/10.3390/ arts8010025.

Carvalhais, Miguel, and Rosemary Lee. 2022. “Spectral and Procedural Creativity: A Perspective from Computational Art.” Transformations Journal 36: 71–81. http://www.transformationsjournal.org/2022-issue- no-36-artificial-creativity/.

Crawford, Kate, and Trevor Paglen. 2021. “Excavating AI: The Politics of Images in Machine Learning Training Sets.” AI & SOCIETY 36: 1105–1116. https://doi.org/10.1007/s00146-021-01162-8.

Curry Jansen, Sue. 2021. What Was Artificial Intelligence? 1st ed. USA: mediastudies.press. https://assets.pubpub. org/52h6z8jg/61648745415960.pdf.

Del Campo, Matias, Alexandra Carlson, and Sandra Manninger. 2021. “Towards Hallucinating Machines - Designing with Computational Vision.” International Journal of Architectural Computing 19 (1): 88–103. https://doi.org/10.1177/1478077120963366.

Figoli, Fabio Antonio, Lucia Rampino, and Francesca Mattioli. 2022. “AI in Design Idea Development: A Workshop on Creativity and Human-AI Collaboration.” In DRS2022: Bilbao, edited by D. Lockton, S. Lenzi, P. Hekkert, A. Oak, J. Sádaba and P. Lloyd, 25 June - 3 July, Bilbao, Spain. https://doi.org/10.21606/ drs.2022.414.

Galanter, Philip 2009. “Thoughts on Computational Creativity.” In Computational Creativity: An Interdisciplinary Approach. Dagstuhl Seminar Proceedings, vol. 9291, Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/DAGSEMPROC.09291.32.

Glăveanu, Vlad P., and James C. Kaufman. 2019. ‘Creativity: A Historical Perspective’. In The Cambridge Handbook of Creativity, 2nd ed., edited by James C. Kaufman and Robert J. Sternberg, 11–26. Cambridge University Press. https://doi.org/10.1017/9781316979839.003.

Hayles, N. Katherine. 1999. How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics. Chicago: University of Chicago Press.

IBM. “AI Hallucinations.” Accessed January 11, 2024. https://www.ibm.com/topics/ai-hallucinations.

Jefferson, G. 1949. “The Mind of Mechanical Man.” BMJ 1 (4616): 1105–10. https://doi.org/10.1136/ bmj.1.4616.1105.

Mitchell, Melanie. 2021. “Why AI Is Harder Than We Think.” ArXiv. http://arxiv.org/abs/2104.12871.

Nake, Frieder. 2016. ‘The Disappearing Masterpiece’. In Proceedings of the Fourth Conference on Computation, Communication, Aesthetics, and X, 11–26. Bergamo.

Pasquinelli, Matteo, and Vladan Joler. 2021. “The Nooscope Manifested: AI as Instrument of Knowledge Extractivism.” Ai & Society 36 (4): 1263–80. https://doi.org/10.1007/s00146-020-01097-6.

Rawte, Vipula, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S.M Towhidul Islam Tonmoy, Aman Chadha, Amit Sheth, and Amitava Das. 2023. “The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations.” In

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2541–73. Singapore: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.155.

Runco, Mark A. 2023. “AI Can Only Produce Artificial Creativity.” Journal of Creativity 33 (3): 100063.

https://doi.org/10.1016/j.yjoc.2023.100063.

Runco, Mark A., and Garrett J. Jaeger. 2012. “The Standard Definition of Creativity.” Creativity Research Journal

(1): 92–96. https://doi.org/10.1080/10400419.2012.650092.

Searle, John R. 1980. “Minds, Brains, and Programs.” Behavioral and Brain Sciences 3 (3): 417–24.

https://doi.org/10.1017/S0140525X00005756.

Turing, A. M. 1950. “I.—Computing Machinery and Intelligence.” Mind 59 (236): 433–60.

https://doi.org/10.1093/mind/LIX.236.433.

____. 1996. “Intelligent Machinery, A Heretical Theory.” Philosophia Mathematica 4 (3): 256–60.

https://doi.org/10.1093/philmat/4.3.256.

Turing, Alan, D. Ince, and Alan Turing. 1992. Mechanical Intelligence. Collected Works of A.M. Turing.

Amsterdam; New York, NY: North-Holland.

Weiner, Robert Paul. 2000. Creativity & beyond: Cultures, Values and Change. Albany: State University of New York Press.

Yannakakis, Georgios N., Julia Liapis, and Constantine Alexopoulos. 2016. “Mixed-Initiative Co-

Creativity.” Proceedings of the 2016 Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). Accessed January 11, 2024. https://www.semanticscholar.org/paper/Mixed-initiative-co-creativity- Yannakakis-Liapis/0a410eecf3b23042f95ebfbe0ffdc08ea697c9d9.

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Published

2024-11-29

How to Cite

Patrício, J. G. (2024). Is Delulu the New Trululu? Artificial Intelligence Hallucinations as Input in the Creative Process. Revista De Comunicação E Linguagens, (60), 226–245. https://doi.org/10.34619/jwrp-nbht