Oltre l’estetica McNuggets. Esplorazioni creative e interazioni tecno-sociali nella produzione artistica realizzata con l’IA
Abstract
Beyond the McNuggets Aesthetics. Creative Explorations and Techno-Social Interactions in Artistic Production Made with AI.
In the contemporary cultural landscape, Artificial Intelligence (AI) emerges as a powerful accelerator of processes in a variety of fields, including the arts. So, the diffusion of AI in art-making raises crucial questions about the ability of AI to appreciate or produce art, the evolution of aesthetic diversity in the software age, and the future of artistic expression. On this basis, as part of the PRIN PNRR IMAGES project, this paper, through in-depth interviews with Italian artists who integrate AI into their creative routines, explores the dynamics of the relationship between AI and art, reflecting on changes in the processes of signification through artistic production. The results highlight that artists, aware of the transformations underway, endeavor through their works to challenge the commercial aesthetics of AI, which reproduces standardized and homogenizing social representations. Art, therefore, emerges as a space for experimentation and exploration of unconventional ideas, playing a significant role in new forms of relationships between humans and algorithmic systems.
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Airoldi M. (2015), “You might also be interested in: recommender algorithms and social imaginary, the case of YouTube”, IM@GO, 6: 132-150.
Arikan E., Akam S. (2022), “Qualitative Study of Text-to-Image AI Generators and their Relationship with NFTs”, 2022 IEEE International Conference on Computational Science and Computational Intelligence (CSCI), 240-245.
Balbi C., Calise A. (2023), “The (theoretical) elephant in the room. Overlooked assumptions in computer vision analysis of art images”, Signata, 14: 1-16.
Bargna L. (2011), “Gli usi sociali e politici dell’arte contemporanea fra pratiche di partecipazione e di resistenza”, ANTROPOLOGIA, XI, 13: 75-106.
Baudrillard J. (1981), Simulacres et simulation, Paris, Éditions Galiée.
Braun V., Clarke V. (2006), “Using thematic analysis in psychology”, Qualitative research in psychology, 3, 2: 77-101.
Brinkmann L., Baumann F., Bonnefon J.F., Derex M., Müeller T.F., Nussberger A.M., Czaplicka A., Acerbi A., Griffiths T.L., Henrich J., Leibo J.Z., Mcelreath R., Oudeyer P.Y., Stray J., Rahwan I. (2023), “Machine culture”, Nature Human Behaviour, 7: 1855–1868.
Bucher T. (2017), “The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms, Information”, Communication & Society, 20,1: 30-44..
Calveri C., Sacco P.L. (2021), La trasformazione digitale della cultura, Milano, Editrice Bibliografica.
Caramiaux B., Fdili Alaoui S. (2022), “'Explorers of Unknown Planets': Practices and Politics of Artificial Intelligence in Visual Arts”, CSCW '22: ACM Conference On Computer-Supported Cooperative Work And Social Computing, November 12–16, Taipei, TWN. ACM, New York, NY, USA, 1-24.
Castoriadis C. (2022), L'istituzione immaginaria della società, Milano, Mimesis Edizioni.
Cetinic E., She J. (2022), “Understanding and Creating Art with AI: Review and Outlook”, ACM Transactions on Multimedia Computing, Communications, and Applications, 18, 2: 1-22.
Chatterjee A. (2022), “Art in an age of artificial intelligence”, Frontiers in Psychology, 13:1024449, 1-9.
Citron D.K., Pasquale F.A. (2014), “The Scored Society: Due Process for Automated Predictions”, Washington Law Review, 89, 8: 1-33.
Clark E., August T., Serrano S., Haduong N., Gururangan S., Smith N.A. (2021), “All that's human is not gold: Evaluating human evaluation of generated text”, arXiv preprint arXiv:2107.00061.
Corbetta P. (1999), Metodologia e tecniche della ricerca sociale, Bologna, il Mulino.
Craig J. (2021), “Computer Vision for Visual Arts Collections: Looking at Algorithmic Bias, Transparency, and Labor”, Art Documentation: Journal of the Art Libraries Society of North America, 40, 2: 198-208.
Crawford K. (2021), Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, New Haven/London, Yale University Press.
Csikszentmihalyi M. (1999), “Implications of a systems perspective for the study of creativity”, in Sternberg R. J. (Ed.), Handbook of creativity, Cambridge, Cambridge University Press, 313–335.
D'Isa F. (2024), La rivoluzione algoritmica delle immagini. Arte e intelligenza artificiale, Roma, Luca Sossella Editore.
du Sautoy M. (2019), The Creativity Code: How AI Is Learning to Write, Paint and Think, London, HarperCollins Publishers.
Elgammal A., Liu B., Elhoseiny M., Mazzone M. (2017), “CAN: Creative adversarial networks, generating "art" by learning about styles and deviating from style norms”, Eighth International Conference on Computational Creativity (ICCC), Atlanta,1-22.
Esposito E. (2017), “Artificial communication? The production of contingency by algorithms”, Zeitschrift für Soziologie, 46, 4: 249-265.
Giacomantonio F. (2023), “Immaginari, cultura e istituzioni: attualità del pensiero di Cornelius Castoriadis”, Scenari, Milano, Mimesis Edizioni.
Gatys L. A., Ecker A. S., Bethge M. (2016), “Image style transfer using convolutional neural networks”, Proceedings of the IEEE conference on computer vision and pattern recognition, 2414-2423.
Goodfellow I., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., Courville A., Bengio Y. (2014), “Generative adversarial nets”, Advances in neural information processing systems, 27: 2672-2680.
Hakopian M. F. (2023), “Art histories from nowhere: on the coloniality of experiments in art and artificial intelligence”, AI & SOCIETY, 39: 29-41.
Haraway D. (1988), “Situated knowledges: the science question in feminism and the privilege of partial perspective”, Fem Stud, 14, 3: 575.
Hassine T., Neeman Z. (2019), “The zombification of Art History: How AI resurrects dead masters, and perpetuates historical biases”, Journal of Science and Technology of The Arts, 11, 2: 28-35.
Hertzmann A. (2018), “Can computers create art?”, Arts, 7, 2: 1-25.
Holmes B. (2004), “Artistic autonomy and the communication society”, Third Text, 18, 6: 547-555.
Horton C. B. Jr, White M. W., Iyengar S. S. (2023), “Bias against AI art can enhance perceptions of human creativity”, Scientific Reports, 13: 19001.
Linson A. (2016), “Machine Art or Machine Artists?: Dennett, Danto, and the Expressive Stance”, in Müller V. C. (ed.), Fundamental Issues of Artificial Intelligence (Synthese Library), Berlin, Springer.
Lyu Y.R., Wang X.X., Lin R.T., Wu J. (2022), “Communication in Human-AI Co-Creation: Perceptual Analysis of Paintings Generated by Text-to-Image System”, Applied Science, 12, 11312, 1-19.
Manovich L. (2019), “Defining AI arts: Three proposals”, AI and dialog of cultures: exhibition catalog, Saint-Petersburg, Hermitage Museum.
Manovich L. (2020), L'estetica dell'intelligenza artificiale. Modelli digitali e analitica culturale, Roma, Luca Sossella Editore.
Manovich L. (2022), “AI and Myths of Creativity”, Architectural Design, 92, 3: 60-65.
Manovich L. (2023), Towards ‘General Artistic Intelligence’?, https://www.artbasel.com/stories/lev-manovich.
Marcos A. (2007), “Digital Art: When artistic and cultural muse and computer technology merge”, IEEE Computer Graphics and Applications.
Marcus G., Davis E. (2019), Rebooting AI: Building artificial intelligence we can trust, New York, NY, Knopf Doubleday Publishing Group.
Marzo P.L., Mori L. (2019), Le vie sociali dell’immaginario. Per una sociologia del profondo, Sesto San Giovanni (MI), Mimemis Edizioni.
Mazzone M., Elgammal A. (2019), “Art, creativity, and the potential of artificial intelligence”, Arts, 8, 26, 1-9.
McCormack J., D'Inverno M. (2013), Computers and creativity, Berlin, Heidelberg, Springer.
Mouffe C. (2008), “Art and Democracy. Art as an Agnostic Intervention in Public Space”, Open, 14: 6-15.
Noble S. (2018), Algorithms of Oppression, New York, New York University Press.
Oh C., Song J., Choi J., Kim S., Lee S., Suh B. (2018), “I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence”, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 1-13.
O'Neil C. (2017), Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, New York, Crown.
Pereira G., Moreschi B. (2021), “Artificial intelligence and institutional critique 2.0: unexpected ways of seeing with computer vision”, AI & SOCIETY, 36, 1: 1201-1223.
Peters M.D.J., Godfrey C.M., Khalil H., McInerney P., Parker D., Soares, C.B. (2015), “Guidance for conducting systematic scoping reviews”, International Journal of Evidence-Based Healthcare, 13, 3: 141-146.
Scardi G., a cura di, (2011), Paesaggio con figura. Arte, sfera pubblica, trasformazione sociale, Torino, Allemandi Editore.
Surapaneni S., Syed S., Lee L.Y. (2020), “Exploring Themes and Bias in Art using Machine Learning Image Analysis”, 2020 Systems and Information Engineering Design Symposium, SIEDS 2020, 1-15.
van Dijck J., Poell T. (2013), “Understanding social media logic”, Media and Communication, 1, 1: 2-14.
van Dijck J., Poell T., de Waal M. (2018), The Platform Society: Public Values in a Connective World, Oxford University Press Inc. Tr. It. Platform society. Valori pubblici e società connessa, Milano, Guerini, 2019.
Wojciechowski A., Korjonen-Kuusipuro K. (2021), “Can Artificial Intelligence Become An Artist?”, Human Technology, 17, 2: 118-125.
Žižek S. (1997), The Plague of Fantasies. Tr. It. L'epidemia dell'immaginario, Roma, Meltemi, 2004.
DOI: https://doi.org/10.7413/2281813819600
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