The Ethical Issues of AI Art
The ethical problems of AI science, technology, and business are essential but elusive, their implications difficult to predict, and their fallouts hard to handle by both the immediate actors and the public. Among many other factors, they affect the creative space of contemporary AI art. In this chapter, we provide a critical outlook on the ethical issues of AI art. After summarizing the pertinent ambiguities of a broader techno-cultural context, we discuss AI art’s specific ethical issues focusing on the sociocultural vectors, expressive strategies, and market directives whose critical understanding is crucial for the advancement of the field.
Keywords: Art, Artificial Intelligence, Computational Arts, Digital Culture, Ethics, Machine Learning, Poetics.
Lindgren, Simon, ed. 2023. Handbook of Critical Studies of Artificial Intelligence. Cheltenham: Edward Elgar Publishing.
Armistead, Josephine (pseudonymous). 2016. “The Silicon Ideology.” Archive, 16 May. https://ia600403.us.archive.org/25/items/the-silicon-ideology/the-silicon-ideology.pdf.
Audry, Sofian. 2021. Art in the Age of Machine Learning. Cambridge: MIT Press.
Beech, Dave. 2015. Art and Value: Art’s Economic Exceptionalism in Classical, Neoclassical, and Marxist Economics, 26. Leiden: Brill.
Beller, Jonathan. 2021. “Fascism on the Blockchain? The Work of Art in the Age of NFTs.” Coindesk website, 23 March. https://www.coindesk.com/fascism-blockchain-art-nfts.
Bowles, Nellie. 2018. “Everyone Is Getting Hilariously Rich and You’re Not.” The New York Times, 13 January. https://www.nytimes.com/2018/01/13/style/bitcoin-millionaires.html.
Browne, Kieran. 2022. “Who (or What) Is an AI Artist?” Leonardo, 55, (2): 130-134. https://doi.org/10.1162/leon_a_02092.
Buss, David M. 2001. “Human Nature and Culture: An Evolutionary Psychological Perspective.” Journal of Personality, (69), 6, December: 955-978.
Castells, Manuel. 2010. The Information Age Vol. 1: The Rise of the Network Society. Chichester: Wiley-Blackwell.
Crawford, Kate. 2021. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, 53-87. New Haven and London: Yale University Press.
Fuchs, Natalia, Peter Kirn, Chris Salter, Emilio Vavarella, and Moises Horta Valenzuela. 2020. “AI Art Manifesto.” Futurological Congress x Transart. https://www.transart.it/wp-content/uploads/2020/09/AI-Art-Manifesto.pdf.
Gere, Charlie. 2008. Digital Culture, 166. London: Reaktion Books.
Grba, Dejan. 2020. “Alpha Version, Delta Signature: Cognitive Aspects of Artefactual Creativity.” Journal of Science and Technology of the Arts, 12, (3): 63-83.
Grba, Dejan. 2021a. “Brittle Opacity: Ambiguities of the Creative AI.” xCoAx, 9th Conference on Computation, Communication, Aesthetics & X Proceedings. Graz: 235-260.
Grba, Dejan. 2021b. “Immaterial Desires: Cultural Integration of Experimental Digital Art.” In Helena Barranha and Joana Simões Henriques, eds. Art, Museums and Digital Cultures: Rethinking Change, 57-72. Lisbon: IHA/NOVA FCSH and maat.
Grba, Dejan. 2022a. “Deep Else: A Critical Framework for AI Art.” MDPI Digital, (2), 1: 1-32. https://doi.org/10.3390/digital2010001.
Grba, Dejan. 2022b. “The Cabinet of Wolfgang von Kempelen: AI Art and Creative Agency.” Possibles, ISEA2022: 27th International Symposium on Electronic Art Proceedings. Barcelona: CCCB/Art Santa Monica.
Grba, Dejan. 2022c. “Lures of Engagement: An Outlook on Tactical AI Art.” xCoAx, 10th Conference on Computation, Communication, Aesthetics & X Proceedings. Coimbra.
Heller, Michael, and James Salzman. 2021. Mine! How the Hidden Rules of Ownership Control Our Lives, 14-18, and passim. New York: Doubleday/Penguin Random House.
Hermann, Isabella. 2021. “Artificial Intelligence in Fiction: Between Narratives and Metaphors.” AI & Society, 1435-5655. https://doi.org/10.1007/s00146-021-01299-6.
Hutson, Matthew. 2012. The 7 Laws of Magical Thinking: How Irrational Beliefs Keep Us Happy, Healthy, and Sane, 165–181. New York: Hudson Street Press.
Jobin, Anna, Marcello Ienca, and Effy Vayena. 2019. “The Global Landscape of AI Ethics Guidelines.” Nature Machine Intelligence, 1 (9): 389-399.
Johnson, Deborah, and Mario Verdicchio. 2017. “Reframing AI Discourse: Minds and Machines.” UWS Academic Portal, 27, (4): 575–590.
Joselit, David. 2021. “NFTs, or The Readymade Reversed.” October, (175): 3–4. https://doi.org/10.1162/octo_a_00419.
Juárez, Geraldine. 2021. “The Ghostchain. (Or Taking Things for what They Are).” Paletten, 325. https://paletten.net/artiklar/the-ghostchain.
Kearns, Michael, and Aaron Roth. 2019. The Ethical Algorithm: The Science of Socially Aware Algorithm Design, 32-48. Oxford: Oxford University Press.
Knight, Shawn. 2021. “Bitcoin is Largely Controlled by a Small Group of Investors and Miners.” Techspot website, 26 October. https://www.techspot.com/news/91937-bitcoin-largely-controlled-small-group-investors-miners-study.html.
Leibowicz, Claire, Emily Saltz, and Lia Coleman. 2021. “Creating AI Art Responsibly: A Field Guide for Artists.” Diseña, 19, Article 5. https://doi.org/10.7764/disena.19.Article.5.
Levin, Golan, and Tega Brain. 2021. Code as Creative Medium: A Handbook for Computational Art and Design, 5. Cambridge: MIT Press.
Lotti, Laura. 2019. “The Art of Tokenization: Blockchain Affordances and the Invention of Future Milieus.” Media Theory, (3), 1: 287-320.
Lyons, Michael J. 2020. “Excavating ‘Excavating AI’: The Elephant in the Gallery.” ACM ArXiv preprint, September. https://doi.org/10.5281/zenodo.4391458.
Marcus, Gary F., and Ernest Davis. 2019. Rebooting AI: Building Artificial Intelligence We Can Trust, 202-203. New York: Pantheon Books.
Mickens, James. 2018. “USENIX Security ’18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?” USENIX Security Keynote, USENIX YouTube channel. https://youtu.be/ajGX7odA87k.
Mitchell, Melanie. 2019. Artificial Intelligence: A Guide for Thinking Humans. Kindle edition. New York: Farrar, Straus and Giroux.
Munster, Ben. 2021. “This Self-Destructing Website Is Impossible to Sell As an NFT.” Vice Motherboard website, 7 April. https://www.vice.com/en/article/z3vjjx/this-self-destructing-website-is-impossible-to-sell-as-an-nf.
Natale, Simone. 2021. Deceitful Media: Artificial Intelligence and Social Life After the Turing Test. New York: Oxford University Press.
Pasquinelli, Matteo. 2019. “How a Machine Learns and Fails—A Grammar of Error for Artificial Intelligence.” Spheres—Journal for Digital Cultures, 5: 1-17. https://spheres-journal.org/wp-content/uploads/spheres-5_Pasquinelli.pdf.
Payne, Alex. 2013. “Bitcoin, Magical Thinking, and Political Ideology.” al3x.net, 18 December. http://al3x.net.
Powles, Julia. 2018. “The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence.” Medium OneZero, 7 December. https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53.
Quaranta, Domenico. 2021. Surfing with Satoshi: Art, Blockchain and NFTs. Aksioma Institute for Contemporary Art.
Raley, Rita. 2009. Tactical Media. Minneapolis: University of Minnesota Press.
Rescorla, Michael. 2020. “The Computational Theory of Mind.” In Edward N. Zalta, ed. The Stanford Encyclopedia of Philosophy (Fall 2020 Edition). https://plato.stanford.edu/archives/fall2020/entries/computational-mind.
Robinson, Walter. 2014. “Flipping and the Rise of Zombie Formalism.” Artspace. https://www.artspace.com/magazine/contributors/see_here/the_rise_of_zombie_formalism-52184.
Seth, Anil. 2021. Being You: A New Science of Consciousness. London: Faber & Faber.
Shanken, Edward A. 2016. “Contemporary Art and New Media: Digital Divide or Hybrid Discourse?” In Christane Paul, ed. A Companion to Digital Art, 463-481. Chichester: John Wiley & Sons, Inc.
Shwartz-Ziv, Ravid, and Naftali Tishby. 2017. “Opening the Black Box of Deep Neural Networks via Information.” arXiv. https://arxiv.org/pdf/1703.00810.pdf.
Stallabrass, Julian. 2006. Contemporary Art: A Very Short Introduction. Oxford: Oxford University Press.
Taylor, Astra. 2018. “The Automation Charade.” Logic, 5 (Failure), 1 August. https://logicmag.io/failure/the-automation-charade.
Trivers, Robert L. 2011. Deceit and Self-Deception: Fooling Yourself the Better to Fool Others. New York: Penguin.
Zeilinger, Martin. 2021. Tactical Entanglements: AI Art, Creative Agency, and the Limits of Intellectual Property. Lüneburg: meson press.
Żmijewski, Artur. 2011. “Artists Are Just as Capable of Setting the Same Chain of Events as Politicians: Artur Żmijewski in conversation with Joanna Warsza.” Das Magazin der Kulturstiftung des Bundes, 18.
Żylińska, Joanna. 2020. AI Art: Machine Visions and Warped Dreams. London: Open Humanities Press.