The Influence of Artificial Intelligence on Modern Cultural Production
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DOI:
https://doi.org/10.67228/3071561X/IJIRHT-2019PII6X4RPublished 12-04-2019
Artificial Intelligence, Cultural Production, Machine Learning, Digital Creativity, Cultural Transformation, Automation, Generative Systems, Ethics in AI, Creative Industries Issue
Section
ArticlesHow to Cite
[1]R. Chandra, “The Influence of Artificial Intelligence on Modern Cultural Production”, IJIRHT, vol. 2, no. 2, pp. 01–12, Dec. 2019, doi: 10.67228/3071561X/IJIRHT-2019PII6X4R.Abstract
Artificial Intelligence (AI) became an agent of change in contemporary society, making an enormous impact on the mechanisms, activities, and results of cultural production. The cultural production, which has traditionally been based on human creativity and socialization, transformed under the impact of digital technologies, especially the systems based on AI. The paper will examine the complex effects of AI on cultural production, such as its contribution to content creation, distribution, consumption, and reinterpretation. Machine learning, natural language processing, and generative models represent AI technologies that have facilitated the automation and enhancement of creative processes like music, literature, visual art, film, and digital media more than ever before. The article explores the ways in which AI transforms the very concept of authorship, defies the old boundaries of art, and democratizes tools of cultural creation. Besides, the paper evaluates the impact of AI on cultural diversity, authenticity, and ethics and considers issues of bias, intellectual property rights, and cultural homogenization. With a systematic methodological framework of qualitative analysis and conceptual modeling, this study measures the potentiality and restrictiveness of AI in cultural ecosystems. The findings show that AI improves productivity and innovation within cultural industries and also creates issues of originality and cultural identity. The use of AI in cultural production processes promotes innovative hybrid forms of creativity, in which the central role falls on the collaboration of man and machine. Nevertheless, the growing use of systems based on data might result in strengthening the dominant cultural discourse and the exclusion of the minority voices. The paper explains that although AI is a significant facilitator of the contemporary cultural production, its impact should be controlled critically to guarantee ethical, inclusive, and sustainable cultural production. The results are relevant to the current discussion within the fields of digital humanities and cultural studies and will give insights into the changing nature of the association between technology and culture in the present-day world.
References
[1] L. Manovich, The Language of New Media. Cambridge, MA, USA: MIT Press, 2001.
[2] H. Jenkins, Convergence Culture: Where Old and New Media Collide. New York, NY, USA: NYU Press, 2006.
[3] W. J. T. Mitchell, What Do Pictures Want? The Lives and Loves of Images. Chicago, IL, USA: University of Chicago Press, 2005.
[4] N. Negroponte, Being Digital. New York, NY, USA: Knopf, 1995.
[5] M. McLuhan, Understanding Media: The Extensions of Man. New York, NY, USA: McGraw-Hill, 1964.
[6] A. Elgammal, B. Liu, M. Elhoseiny, and M. Mazzone, “CAN: Creative adversarial networks generating ‘art’ by learning about styles and deviating from style norms,” in Proc. Int. Conf. Computational Creativity, 2017, pp. 96–103.
[7] D. Cope, Computer Models of Musical Creativity. Cambridge, MA, USA: MIT Press, 2005.
[8] M. Boden, Creativity and Artificial Intelligence. Cambridge, MA, USA: Cambridge University Press, 2016.
[9] E. Edmonds and L. Candy, “Relating theory, practice and evaluation in practitioner research,” Leonardo, vol. 43, no. 5, pp. 470–476, 2010.
[10] S. Noble, Algorithms of Oppression: How Search Engines Reinforce Racism. New York, NY, USA: NYU Press, 2018.
[11] T. Gillespie, “The relevance of algorithms,” in Media Technologies: Essays on Communication, Materiality, and Society. Cambridge, MA, USA: MIT Press, 2014, pp. 167–194.
[12] B. Latour, Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford, U.K.: Oxford University Press, 2005.
[13] R. Florida, The Rise of the Creative Class. New York, NY, USA: Basic Books, 2002.
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How to Cite
[1]R. Chandra, “The Influence of Artificial Intelligence on Modern Cultural Production”, IJIRHT, vol. 2, no. 2, pp. 01–12, Dec. 2019, doi: 10.67228/3071561X/IJIRHT-2019PII6X4R.