The Teleological Nature of Digital Aesthetics – the New Aesthetic in Advance of Artificial Intelligence
DOI:
https://doi.org/10.25038/am.v0i20.326Keywords:
New Aesthetics, digital aesthetics, artificial intelligence, post-digital, teleology, curationAbstract
If aesthetic and teleological judgments are equally reflective, then it can be argued that such judgments can be applied concurrently to digital objects, specifically those that are products of the rapidly developing sophisticated forms of artificial intelligence (AI). Evidence of the aesthetic effects of technological development are observable in more than just experienceable objects; rooted in inscrutable machine learning, AI’s complexity is a problem when it is presented as an aesthetic authority, particularly when it comes to automated curatorial practice or as a progressively determinative aesthetic force originating in an independent agency that is internally self-consistent.
Rooted in theories of the post-digital and the New Aesthetic, this paper examines emerging new forms of art and aesthetic experiences that appear to reveal these capabilities of AI. While the most advanced forms of AI barely qualify for a ‘soft’ description at this point, it appears inevitable that a ‘hard’ form of AI is in the future. Increased forms of technological automation obscure the increasingly real possibility of genuine products of the imagination and the creativity of autonomous digital agencies as independent algorithmic entities, but such obfuscation is likely to fade away under the evolutionary pressures of technological development. It’s impossible to predict the aesthetic products of AI at this stage but, if the development of AI is teleological, then it might be possible to predict some of the foreseeable associated aesthetic problems.
Article received: April 10, 2019; Article accepted: July 6, 2019; Published online: October 15, 2019; Original scholarly paper
References
Adorno, Theodor. “Culture Industry Reconsidered,” translated by Anson G. Rabinbach. New German Critique 6 (Fall 1975): 12–19. DOI: https://doi.org/10.2307/487650
Dredge, Stuart. “Music Created by Artificial Intelligence Is Better Than You Think.” Medium, February 1, 2019. https://medium.com/s/story/music-created-by-artificial-intelligence-is-better-than-you-think-ce73631e2ec5. Accessed: February 17, 2019.
Elgammal, Ahmed, Bingchen Liu, Mohamed Elhoseiny, and Marian Mazzone. “CAN: Creative Adversarial Networks. Generating ‘Art’ by Learning About Styles and Deviating from Style Norms.” arXiv:1706.07068v1. https://arxiv.org/pdf/1706.07068.pdf. Accessed September 1, 2018.
Finn, Ed. What Algorithms Want: Imagination in the Age of Computing. Cambridge: MIT Press, 2017. DOI: https://doi.org/10.7551/mitpress/9780262035927.001.0001
Kelly, Samantha. “Growing up with Alexa: A child's relationship with Amazon's voice assistant.” CNN, October 16, 2018. https://www.cnn.com/2018/10/16/tech/alexa-child-development/index.html. Accessed: January 28, 2019.
Kelly, Sean. “A philosopher argues that an AI can’t be an artist.” MIT Technology Review, February 21, 2019, https://www.technologyreview.com/s/612913/a-philosopher-argues-that-an-ai-can-never-be-an-artist/?utm_medium=tr_social&utm_source=facebook&utm_campaign=site_visitor.unpaid.engagement&fbclid=IwAR0vGU21NkdSISUOJi97AqPdMI0b-VPzGOEtJbpyXDfEx9TepaPq8zIYzIA. Accessed: March 1, 2019.
McDonald, Ian. Luna. New Moon. New York: Tor Books, 2016.
Microsoft News Center Europe, “The Next Rembrandt.” https://news.microsoft.com/europe/features/next-rembrandt/. Accessed September 25, 2018.
Tim Nudd. “Inside ‘The Next Rembrandt’: How JWT Got a Computer to Paint Like the Old Master.” Adweek, June 27, 2016. Accessed: September 25, 2018. https://www.adweek.com/brand-marketing/inside-next-rembrandt-how-jwt-got-computer-paint-old-master-172257/.
Voon, Claire. “Humans Prefer Computer-Generated Paintings to Those at Art Basel.” Hyperallergic, July 31, 2017, https://hyperallergic.com/391059/humans-prefer-computer-generated-paintings-to-those-at-art-basel/. Accessed: September 1, 2018.
DOI: http://dx.doi.org/10.25038/am.v0i20.326 DOI: https://doi.org/10.25038/am.v0i20.326
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