The Art in Artificial: Locating the Artist in Machines

Authors

  • Kopal Jawaharlal Nehru University, New Delhi.

Keywords:

AI art, Deconceptualisation, Juxtaposition of Dissimilar, Aesthetics

Abstract

With the advent of artificial intelligence there is very little that is left outside the purview of it. Art making, a specialism of human expression, is also something AI is venturing upon. The present paper is an attempt to analyse and contextualise art making in artificial systems. The study envisages to look into the ways and means by which these machines are able to make art and how in the present day context are not just competing but also sometimes faring better as compared to human made art.

Author Biography

Kopal, Jawaharlal Nehru University, New Delhi.

Jawaharlal Nehru University, New Delhi, India.

References

• Aldrich, V. C. (1963). Philosophy of Art. Prentice-Hall.

• Audi, R. (1999). The Cambridge Dictionary of Philosophy: Second Edition. Cambridge University Press.

• Baumgarten, A. G. (1954). Reflections on Poetry: Alexander Gottlieb Baumgarten's Meditationes Philosophicae de Nonnullis Ad Poema Pertinentibus. University of California Press.

• Beardsley, M. (1981). Aesthetics: Problems in the Philosophy of Criticism. Hackett Publishing Company, Inc.

• Bono, E. de. (1962). The Use of Lateral Thinking. Penguin.

• Chamberlain, R, Mullin, C., Scheerlinck B., & Wagemans, J. (2017). Putting the Art in Artificial: Aesthetic Responses to Computer-Generated Art. Psychology of Aesthetics, Creativity, and the Art 12(2), 177-192. https://doi.org/10.1037/aca0000136

• Chamberlain, R, Wagemans, J., & Mullin C. R. (2015). The Artistic Turing Test: An Exploration of Perceptions of Computer-Generated and Man-Made Art. Journal of Vision 15(112), 112. https://doi.org/10.1167/15.12.112

• Elgammal, A., & Mazzone M. (2019). Art, Creativity and the Potential of Artificial Intelligence. Arts 8(1), 26. ; https://doi.org/10.3390/arts8010026

• Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms. Paper presented at the 8th International Conference on Computational Creativity (ICCC), Atlanta, GA, USA, June 19–23. https://doi.org/10.48550/arXiv.1706.07068

• Freedberg, D., & Gallese, V. (2007). Motion, Emotion and Empathy in Esthetic Experience. TRENDS in Cognitive Sciences 11(5), 197-203.

• Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Begio, Y. (2014). Generative Adversarial Nets. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence & W. Kilian (Eds), Advances in Neural Information Processing Systems 27 (NIPS 2014) (pp. 2672-2680). Curran Associates, Inc.

https://doi.org/10.48550/arXiv.1406.2661

• Gordon, D. A. (1952). Methodology in the Study of Art Evaluation. The Journal of Aesthetics and Art Criticism 10(4), 338-352. https://doi.org/10.2307/426064

• Haugeland, J. (1985). Artificial intelligence: The Very Idea. MIT Press.

• Hong, J., & Curran, N. (2019). Artificial Intelligence, Artists, and Art: Attitudes Toward Artwork Produced By Humans vs. Artificial Intelligence. ACM Transactions on Multimedia Computing Communications and Applications 15(2s), 58(1-16). https://doi.org/10.1145/3326337

• Indurkhya, B. “Computers and Creativity.” Unpublished Manuscript, based on the key note speech on Modelling Mechanisms of Creativity, delivered at Mind II: Computational Models of Creative Cognition, Dublin, Ireland, 1997. https://pdfs.semanticscholar.org/0a67/87ce7b2db7ed80de5c959ceb896309f3933a.pdf.

• Kant, I. (1914). Kant’s Critique of Judgement (John H. Bernard, Trans.). Macmillan.

• Kirk, U., Skov, M., Hulme, O., Christensen, M.S., & Zeki, S. (2008). Modulation of Aesthetic Value by Semantic Context: An fMRI Study. NeuroImage 44(3), 1125–1132. 10.1016/j.neuroimage.2008.10.009

• Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Viking Penguin.

• Lavinson, J. (2003). Philosophical Aesthetics: An Overview. In J. Lavinson (Ed.), The Oxford Handbook of Aesthetics (3-24). Oxford University Press.

• Martindale, C. (1990). The Clockwork Muse: The Predictability of Artistic Change. Basic Books.

• Minsky, M. L. (2006). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon & Schuster.

• Poole, D., Mackworth, A., & Goebel, R. (1998). Computational Intelligence: A Logical Approach. Oxford University Press.

• Rajan, R. S., & O’Neal, I. V. (2018). An Introduction to Arts Evaluation. In R. S. Rajan & I. Chand (Eds.), Arts Evaluation and Assessment: Measuring Impact in Schools and Communities (1-9). Palgrave Macmillan.

• Rich, E., & Knight, K. (1991). Artificial Intelligence. McGraw-Hill.

• Schön, D. A. (1967). Invention and the Evolution of Ideas. Tavistock Publications. (First published in 1963 as Displacement of Concepts).

• Turing, A. (1950). Computing Machinery and Intelligence. Mind 59(236), 433-60. https://doi.org/10.1093/mind/LIX.236.433

Published

2022-09-22

How to Cite

Kopal. (2022). The Art in Artificial: Locating the Artist in Machines. Tattva Journal of Philosophy, 14(2). Retrieved from https://journals.christuniversity.in/index.php/tattva/article/view/3406