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Limits of Creativity: An Overview of Artificial Intelligence Creativity

Year 2024, Volume: 11 Issue: 2, 422 - 446, 08.01.2025

Abstract

This article examines the potential of artificial intelligence to be considered a creative agent from philosophical, artistic, and communicative perspectives. It highlights the limitations of defining creativity solely from a human-centered viewpoint. Traditionally, creativity has been associated with human qualities such as consciousness, intention, and subjective experience. However, the involvement of artificial intelligence in art production introduces aesthetic and innovative values that challenge these traditional definitions. The study explores the artistic creativity potential of artificial intelligence through various theories of creativity, emphasizing the role of audience and societal impact in providing meaning to works created by artificial intelligence. In conclusion, it argues that creativity should be redefined within a broader framework that goes beyond human-centered definitions, acknowledging a new perspective that differs from human creativity.

References

  • Baudrillard, J. (1994). Simulacra and simulation. University of Michigan Press.
  • Benjamin, W. (1935). The work of art in the age of mechanical reproduction, Illuminations, 62-75. https://doi.org/10.1007/978-1-137-08886-4_7
  • Blok, V. (2022). The role of human creativity in human-technology relations. Philosophy & Technology, 35(3), 59. https://doi.org/10.1007/s13347-022-00559-7
  • Boden, M. A. (1998). Creativity and artificial intelligence. Artificial Intelligence, 103(1-2), 347-356. https://doi.org/10.1016/S0004-3702(98)00055-1
  • Bostrom, N. (2017). Superintelligence: Paths, dangers, strategies (Reprinted with corrections). Oxford University Press.
  • Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language models are few-shot learners, Advances in Neural Information Processing Systems (C. 33, s. 1877-1901) https://doi.org/10.48550/ARXIV.2005.14165
  • Cohen, H. (1995). The further exploits of AARON, painter. Stanford Humanities Review, 4(2), 141-158.
  • Cohen, P. (2016). Harold Cohen and AARON. AI Magazine, 37(4), 63-66. https://doi.org/10.1609/aimag.v37i4.2695
  • Csikszentmihalyi, M. (2013). Creativity: The psychology of discovery and invention (First Harper Perennial modern classics edition). Harper Perennial Modern Classics.
  • Das, P., & Varshney, L. R. (2022). Explaining artificial intelligence generation and Creativity: human interpretability for novel ideas and artifacts. IEEE Signal Processing Magazine, 39(4), 85-95. https://doi.org/10.1109/MSP.2022.3141365
  • Descartes, R., Cottingham, J., & Williams, B. (1996). Descartes: Meditations on first philosophy: With selections from the objections and replies. Cambridge University.
  • During, S. (1999). The cultural studies reader. Psychology Press.
  • Eisenstein, E. L. (1980). The printing press as an agent of change (1. bs). Cambridge University Press. https://doi.org/10.1017/CBO9781107049963
  • Glăveanu, V. P., & Kaufman, J. C. (2019). Creativity: A historical perspective, J. C. Kaufman & R. J. Sternberg (Ed.), The Cambridge Handbook of Creativity (2. bs, s. 9-26). Cambridge University Press. https://doi.org/10.1017/9781316979839.003
  • Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial networks (Versiyon 1). arXiv. https://doi.org/10.48550/ARXIV.1406.2661
  • Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444-454. https://doi.org/10.1037/h0063487
  • Guzik, E. E., Byrge, C., & Gilde, C. (2023). The originality of machines: AI takes the Torrance Test. Journal of Creativity, 33(3), 100065. https://doi.org/10.1016/J.YJOC.2023.100065
  • Horkheimer, M., Adorno, T. W., Noeri, G. S., & Jephcott, E. (2002). Dialectic of enlightenment: Philosophical fragments. Stanford University Press.
  • Jenkins, H. (2006). Convergence culture. NYU Press; JSTOR. http://www.jstor.org/stable/j.ctt9qffwr
  • Luhmann, N. (2000). Art as a social system. Stanford University Press; WorldCat.
  • Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(1), 26. https://doi.org/10.3390/arts8010026
  • McLuhan, M. (2001). Understanding media: The extensions of man. Routledge.
  • Muthukrishnan, N., Maleki, F., Ovens, K., Reinhold, C., Forghani, B., Forghani, R., & others. (2020). Brief history of artificial intelligence. Neuroimaging Clinics of North America, 30(4), 393-399.
  • Nagel, T. (1974). What Is It Like to Be a Bat? The Philosophical Review, 83(4), 435–450. https://doi.org/10.2307/2183914
  • Rosenblum, N. (1997). A world history of photography. Abbeville Press. http://catalog.hathitrust.org/api/volumes/oclc/35249578.html
  • Runco, M. A., & Jaeger, G. J. (2012). The Standard Definition of Creativity. Creativity Research Journal, 24(1), 92-96. https://doi.org/10.1080/10400419.2012.650092
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Sawyer, R. K., & Henriksen, D. (2023). Explaining creativity: The science of human innovation (3. Basım). Oxford University Press. https://doi.org/10.1093/oso/9780197747537.001.0001
  • Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-424. https://doi.org/10.1017/S0140525X00005756
  • Sternberg, R. J. (2006). The nature of creativity. Creativity research journal, 18(1), 87.
  • Torrance, E. P., & Shaughnessy, M. F. (1998). An interview with E. Paul Torrance: About creativity. Educational Psychology Review, 10(4), 441-452. JSTOR.
  • Trach, Y. (2021). Artificial intelligence as a tool for creating and analysing works of art. Culture and Arts in the Modern World, 22, 164-173.
  • Turing, A. M. (1950). I.—Computing machinery and intelligence. Mind, LIX(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433

Yaratıcılığın Sınırları: Yapay Zekâ Yaratıcılığına Bir Bakış

Year 2024, Volume: 11 Issue: 2, 422 - 446, 08.01.2025

Abstract

Bu makale, yapay zekânın yaratıcı bir özne olarak değerlendirilebilme potansiyelini felsefi, sanatsal ve iletişimsel boyutlarıyla incelemekte ve yaratıcılığın insan merkezli tanımlarla sınırlı kalmasının yetersizliğini ortaya koymaktadır. Yaratıcılık, geleneksel olarak bilinç, niyet ve öznel deneyim gibi insana özgü unsurlarla tanımlansa da yapay zekânın sanat üretim süreçlerine katılımı, estetik ve yenilik değerleri sunarak bu tanımları sorgulamaktadır. Çalışmada, yaratıcılık hakkındaki teoriler ışığında yapay zekânın sanatsal yaratıcılık potansiyeli ele alınmış; bu üretimlerin izleyici ve toplum üzerindeki etkisinin, yapay zekâ eserlerine anlam kazandırmada önemli bir rol oynadığı vurgulanmıştır. Sonuç olarak, yaratıcılık kavramının insan yaratıcılığından farklı bir anlayışla ve insan merkezli tanımların ötesine geçen bir çerçevede yeniden ele alınması gerekmektedir.

References

  • Baudrillard, J. (1994). Simulacra and simulation. University of Michigan Press.
  • Benjamin, W. (1935). The work of art in the age of mechanical reproduction, Illuminations, 62-75. https://doi.org/10.1007/978-1-137-08886-4_7
  • Blok, V. (2022). The role of human creativity in human-technology relations. Philosophy & Technology, 35(3), 59. https://doi.org/10.1007/s13347-022-00559-7
  • Boden, M. A. (1998). Creativity and artificial intelligence. Artificial Intelligence, 103(1-2), 347-356. https://doi.org/10.1016/S0004-3702(98)00055-1
  • Bostrom, N. (2017). Superintelligence: Paths, dangers, strategies (Reprinted with corrections). Oxford University Press.
  • Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language models are few-shot learners, Advances in Neural Information Processing Systems (C. 33, s. 1877-1901) https://doi.org/10.48550/ARXIV.2005.14165
  • Cohen, H. (1995). The further exploits of AARON, painter. Stanford Humanities Review, 4(2), 141-158.
  • Cohen, P. (2016). Harold Cohen and AARON. AI Magazine, 37(4), 63-66. https://doi.org/10.1609/aimag.v37i4.2695
  • Csikszentmihalyi, M. (2013). Creativity: The psychology of discovery and invention (First Harper Perennial modern classics edition). Harper Perennial Modern Classics.
  • Das, P., & Varshney, L. R. (2022). Explaining artificial intelligence generation and Creativity: human interpretability for novel ideas and artifacts. IEEE Signal Processing Magazine, 39(4), 85-95. https://doi.org/10.1109/MSP.2022.3141365
  • Descartes, R., Cottingham, J., & Williams, B. (1996). Descartes: Meditations on first philosophy: With selections from the objections and replies. Cambridge University.
  • During, S. (1999). The cultural studies reader. Psychology Press.
  • Eisenstein, E. L. (1980). The printing press as an agent of change (1. bs). Cambridge University Press. https://doi.org/10.1017/CBO9781107049963
  • Glăveanu, V. P., & Kaufman, J. C. (2019). Creativity: A historical perspective, J. C. Kaufman & R. J. Sternberg (Ed.), The Cambridge Handbook of Creativity (2. bs, s. 9-26). Cambridge University Press. https://doi.org/10.1017/9781316979839.003
  • Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial networks (Versiyon 1). arXiv. https://doi.org/10.48550/ARXIV.1406.2661
  • Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444-454. https://doi.org/10.1037/h0063487
  • Guzik, E. E., Byrge, C., & Gilde, C. (2023). The originality of machines: AI takes the Torrance Test. Journal of Creativity, 33(3), 100065. https://doi.org/10.1016/J.YJOC.2023.100065
  • Horkheimer, M., Adorno, T. W., Noeri, G. S., & Jephcott, E. (2002). Dialectic of enlightenment: Philosophical fragments. Stanford University Press.
  • Jenkins, H. (2006). Convergence culture. NYU Press; JSTOR. http://www.jstor.org/stable/j.ctt9qffwr
  • Luhmann, N. (2000). Art as a social system. Stanford University Press; WorldCat.
  • Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(1), 26. https://doi.org/10.3390/arts8010026
  • McLuhan, M. (2001). Understanding media: The extensions of man. Routledge.
  • Muthukrishnan, N., Maleki, F., Ovens, K., Reinhold, C., Forghani, B., Forghani, R., & others. (2020). Brief history of artificial intelligence. Neuroimaging Clinics of North America, 30(4), 393-399.
  • Nagel, T. (1974). What Is It Like to Be a Bat? The Philosophical Review, 83(4), 435–450. https://doi.org/10.2307/2183914
  • Rosenblum, N. (1997). A world history of photography. Abbeville Press. http://catalog.hathitrust.org/api/volumes/oclc/35249578.html
  • Runco, M. A., & Jaeger, G. J. (2012). The Standard Definition of Creativity. Creativity Research Journal, 24(1), 92-96. https://doi.org/10.1080/10400419.2012.650092
  • Russell, S. J., Norvig, P., & Davis, E. (2010). Artificial intelligence: A modern approach (3rd ed). Prentice Hall.
  • Sawyer, R. K., & Henriksen, D. (2023). Explaining creativity: The science of human innovation (3. Basım). Oxford University Press. https://doi.org/10.1093/oso/9780197747537.001.0001
  • Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-424. https://doi.org/10.1017/S0140525X00005756
  • Sternberg, R. J. (2006). The nature of creativity. Creativity research journal, 18(1), 87.
  • Torrance, E. P., & Shaughnessy, M. F. (1998). An interview with E. Paul Torrance: About creativity. Educational Psychology Review, 10(4), 441-452. JSTOR.
  • Trach, Y. (2021). Artificial intelligence as a tool for creating and analysing works of art. Culture and Arts in the Modern World, 22, 164-173.
  • Turing, A. M. (1950). I.—Computing machinery and intelligence. Mind, LIX(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433
There are 33 citations in total.

Details

Primary Language Turkish
Subjects Communication Technology and Digital Media Studies, Media Technologies, New Media, Communication and Media Studies (Other)
Journal Section Articles (Thematic)
Authors

Emre Mutlu 0009-0002-3625-7564

Publication Date January 8, 2025
Submission Date October 15, 2024
Acceptance Date November 27, 2024
Published in Issue Year 2024 Volume: 11 Issue: 2

Cite

APA Mutlu, E. (2025). Yaratıcılığın Sınırları: Yapay Zekâ Yaratıcılığına Bir Bakış. Moment Dergi, 11(2), 422-446. https://doi.org/10.17572/mj2024.2.422-446