AccScience Publishing / AC / Online First / DOI: 10.36922/ac.3822
ARTICLE

Digital and AI transformation in the contemporary art industry in China

Emma Duester1* Ruyin Zhang1
Show Less
1 USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, Shanghai, China
Submitted: 3 June 2024 | Accepted: 3 September 2024 | Published: 21 October 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

This study examines the digital and artificial intelligence (AI) transformation in the contemporary art industry in China. This industry in China is undergoing a distinct digital transition and is “ahead” of other countries, having fully integrated digital technologies and AI (digiAI) into policies, regulations, organizations, and professional practices. A systematic, large-scale national integration of digiAI has led to its widespread adoption by artists and arts professionals. However, little is known about how or when this rapid and extensive integration and subsequent adoption occurred or about its impacts on professional practices. This study draws on research conducted between 2023 and 2024, including 30 interviews with contemporary Chinese visual artists, 23 interviews with arts professionals, a survey of 110 professional contemporary visual artists, and a systematic review of government policy. Findings indicate that the government began integrating digital technology into the contemporary art industry in 2016, further promoted digital technology integration in 2021, and introduced regulations to support AI usage in 2023. The data reveal a significant spike in the adoption of digital technologies by professionals between 2019 and 2020, followed by a rise in AI adoption in 2023. DigiAI has been accepted and now used across different kinds of arts professions, various types of visual artists, and several age groups. Digital and AI tools are now being applied in both creative and non-creative aspects of arts practices.

Keywords
Contemporary visual artists
AI
Arts professionals
Digital technologies
Digital transformation
Contemporary art industry
China
Funding
This research is funded by the International Association of Cultural and Creative Industries Research (IACCIR).
Conflict of interest
The authors declare no conflicts of interest.
References
  1. Samsudsin F. Artificial Intelligence (AI) in the art and design industry. RISE Catalys Global Res Excell. 2023;1(3):1-4.

 

  1. Gao Z, Man S, Wang A. AI Art and Design Creation Industry: The Transformation from Individual Production to Human-machine Symbiosis. In: 2022 World Automation Congress. United States: IEEE; p. 52-56.

 

  1. Bryce D. Artificial Intelligence and Music: Analysis of Music Generation Techniques via Deep Learning and the Implications of AI in the Music Industry; 2024. [Thesis]. Available from: https://digitalcommons.bryant.edu/cgi/ viewcontent.cgi?article=1011&context=honors_data_ science [Last accessed on 2023 Nov 25].

 

  1. Cain LN, Thomas JH, Alonso M Jr. From sci-fi to sci-fact: The state of robotics and AI in the hospitality industry. J Hosp Tourism Technol. 2019;10(4):624-650. doi: 10.1108/JHTT-07-2018-0066

 

  1. Glebova E, Madsen DØ, Mihaľová P, Géczi G, Mittelman A, Jorgič B. Artificial intelligence development and dissemination impact on the sports industry labor market. Front Sports Act Living. 2024;6:1363892. doi: 10.3389/fspor.2024.1363892

 

  1. Lv Z, Song S. Integration of Artificial Intelligence Plus Industry and Sports Industry: A Research on the Innovation and Development Strategy of Sports Industry. In: 2020 International Conference on Sports Sciences, Physical Education and Health (ICSSPEH 2020). Netherlands: Atlantis Press; 2020. p. 7-12.

 

  1. Limna P. Artificial intelligence (AI) in the hospitality industry: A review article. Int J Comput Sci Res. 2024;1(7):1306-1317.

 

  1. Saini A, Bhalla R. Artificial intelligence and automation: Transforming the hospitality industry or threat to human touch. In: Handbook of Research on Innovative Management Using AI in Industry. Vol. 5. United States: IGI Global; 2022. p. 88-97.

 

  1. Aris S, Aeini B, Nosrati S. A digital aesthetics? Artificial intelligence and the future of the art. J Cyberspace Stud. 2023;7(2):219-236. doi: 10.22059/jcss.2023.366256.1097

 

  1. Zhao B, Zhan D, Zhang C, Su M. Computer-aided digital media art creation based on artificial intelligence. Neural Comput Applic. 2023;35(35):24565-24574. doi: 10.1007/s00521-023-08584-z

 

  1. Duester E. Digital art work and AI: A new paradigm for work in the contemporary art sector in China. Eur J Cult Manag Policy. 2024;14(2):12470. doi: 10.3389/ejcmp.2024.12470

 

  1. Douglas DM. Towards a just and fair Internet: Applying Rawls’ principles of justice to Internet regulation. Ethics Inf Technol. 2015;17(1):57-64. doi: 10.1007/s10676-015-9361-1

 

  1. Sigler F. Work: Documents of Contemporary Art. Massachusetts: MIT Press; 2017.

 

  1. Hua S. Disruption, digitalization and connectivity: Asia’s art market in transformation. Arts. 2022;11(3):57-65. doi: 10.3390/arts11030057

 

  1. Kanellidi P. The Contemporary Art Market: How Digital Globalization is Changing the Art World; 2019. Available from: https://repository.ihu.edu.gr/xmlui/bitstream/ handle/11544/29325/IHU%20Dissertation%20Thesis%20 2017-18%20.pdf?sequence=1 [Last accessed on 2024 Aug 21].

 

  1. Fotino A. Embracing Creativity: How AI Can Enhance the Creative Process; 2023. Available from: https://www.sps. nyu.edu/homepage/emerging-technologies-collaborative/ blog/2023/embracing-creativity-how-ai-can-enhance-the-creative-process.html [Last accessed on 2024 Jun 14].

 

  1. Filimowicz M. Creative Collaboration: How Artists and AI Can Work Together; 2023. Available from: https://medium. com/higher-neurons/creative-collaboration-how-artists- and-ai-can-work-together-187502fd8fdb [Last accessed on 2024 Oct 16].

 

  1. Hisrich D, Soltanifar M. Future of business and finance. In: Digital Entrepreneurship. Germany: Springer; 2021. doi: 10.1007/978-3-030-53914-6_2

 

  1. Sun J. The historical generation of artificial intelligence art and “participation” aesthetics, Contemp Lit Criticism. 2022;12(6):183-189. doi: 10.19290/j.cnki.51-1076/i.2022.06.031

 

  1. Mazzone M, Elgammel A. Art, creativity, and the potential of artificial intelligence. Arts. 2019;8(1):26-31. doi: 10.3390/arts8010026

 

  1. De Nigris O. The Development of Contemporary Art Museums in China: A General Framework. In: Italian Association for Chinese Studies. Vol. 2. Italy: Libreria Editrice Cafoscarina; 2018. p. 213-228.

 

  1. Togiya N, Baba A. The Digitization of Cultural Resources: An Exploration of Current Issues and the Future Outlook-A Comparison of Japan and Other Countries; 2009. Available from: https://citeseerx.ist.psu.edu/ document?repid=rep1&type=pdf&doi=ce64ae6a877ca29 1ef31a637422ccbbcb1c5d1b1 [Last accessed on 2023 Jul 15].

 

  1. Su Y, Lee SS, Su B, Zhang L. Digitizing Intangible Cultural Heritage in China: A Pedagogical Model for Innovation and Entrepreneurship among New Media Art Students. In: Streitz NA, Konomi S, editors. Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. HCII 2022. Lecture Notes in Computer Science. Vol. 13326. Cham: Springer; 2022. p. 159-178. doi: 10.1007/978-3-031-05431-0_12

 

  1. Aquino A, Pagnotta S, Lezzerini M, Pecchioni E, Moggi CV, Columbu S. From minerals to artefacts: The role and challenges of 3D modelling. Archeol Calc. 2021;32(2):209-218.

 

  1. Damayanti R, Redyantanu B, Kossak F. A study of multi-sensory senses in museum virtual-visits. IOP Conf Ser Earth Environ Sci. 2021;907(1):012020. doi: 10.1088/1755-1315/907/1/012020

 

  1. Xu LD, Xu EL, Li L. Industry 4.0: State of the art and future trends. Int J Prod Res. 2018;56(8):2941-2962. doi: 10.1080/00207543.2018.1444806

 

  1. Zadeh NK, Khalilzadeh M, Mozafari M, Vasei M, Ojaki A. Challenges and difficulties of technology commercialization- a mixed-methods study of an industrial development organization. Manag Res Rev. 2017;40(7):745-767. doi: 10.1108/MRR-08-2016-0192

 

  1. Cortimiglia MN, Ghezzi A, Frank AG. Business model innovation and strategy making nexus: Evidence from a cross‐industry mixed‐methods study. R&D Manag. 2016;46(3):414-432. doi: 10.1111/radm.12113

 

  1. Edwards R, Davidson E, Jamieson L, Weller S. Theory and the breadth-and-depth method of analysing large amounts of qualitative data: A research note. Qual Quant. 2021;55(1):1275-1280. doi: 10.1007/s11135-020-01054-x

 

  1. Gladston R. Contemporary Chinese Art: A Critical History. London: Reaktion Books; 2014. p. 57.

 

  1. Bin A. Assessing the role of sustainable construction practices in the one belt one road initiative: A comparative analysis of China and Southeast Asian countries. J Digitainabil Realism Mastery (DREAM). 2023;2(2):39-44. doi: 10.56982/dream.v2i02.86

 

  1. Ji Y, Clark S, Bai M, Sang C, Yuan Y. A study on the development of digital art in China through artworks. Proc EVA London. 2023;1(9):152-159. doi: 10.14236/ewic/EVA2023.25

 

  1. Astle PJ, Muir A. Digitization and preservation in public libraries and archives. J Libr Inf Sci. 2002;34(2):67-79. doi: 10.1177/096100060203400202

 

  1. Yilmaz V, Celic H. Extending the technology acceptance model for adoption of e-shopping by consumers in Turkey. J Electron Commer Res. 2011;12(2):152-164. doi: 10.1515/pdtc-2021-0009

 

  1. Kucuk ME, Soydal I. Standards and protocols in digital libraries. Turk Libr. 2003;17(2):121-146. doi: 10.5772/intechopen.1001991

 

  1. Manovich L. AI Aesthetics. Moscow: Strelka Press; 2018.

 

  1. Paul C. Digital Art. London: Thames and Hudson; 2023. p. 27.

 

  1. Zeilinger M. Generative adversarial copy machines. Cult Mach. 2021;20:1-23.

 

  1. Hesmondhalgh D. Have digital communication technologies democratized the media industries? In: Media and Society. Vol. 1. United Kingdom: Bloomsbury Academic; 2019. p. 101-120.

 

  1. Khan S, Khan S, Aftab M. Digitization and its impact on economy. Int J Digit Libr Serv. 2015;5(2):138-149.

 

  1. Ho AG. Techspressionism’of Digital Art in Contemporary China. In: Proceedings of the Tenth International Symposium of Chinese CHI. 2021. p. 161-169.

 

  1. Chatterjee A. Art in an age of artificial intelligence. Front Psychol. 2022;13(1):1024449. doi: 10.3389/fpsyg.2022.1024449

 

  1. Tang K. Artificial intelligence art as “humanoid art”. J Southwest Minzu Univ. 2020;41(5):178-183.

 

  1. Liu W, Feng T. From “Chinese house” to “art house”: Spiritual criticism and reflection on artificial intelligence art. Inner Mongol Soc Sci. 2022;43(5):126-135. doi: 10.14137/j.cnki.issn1003-5281.2022.05.017

 

  1. Scarinzi A. Aesthetics and the Embodied Mind: Beyond Art Theory and the Cartesian Mind-body Dichotomy. Dordrecht: Springer; 2015.

 

  1. Lavelle S. The Machine with a Human Face: From Artificial Intelligence to Artificial Sentience. In: Advanced Information Systems Engineering Workshops: CAiSE 2020 International Workshops, Grenoble, France, Proceedings 32. Germany: Springer International Publishing; 2020. p. 63-75.

 

  1. Husain A. The Sentient Machine: The Coming Age of Artificial Intelligence. United States: Simon and Schuster; 2017.

 

  1. Miller A. The Artist in the Machine: AI-powered Creativity. London and New York: MIT Press; 2019. doi: 10.7551/mitpress/11585.001.0001

 

  1. Kasparov G. Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins. New York: Public Affairs Press; 2017.

 

  1. Drew R. Technological determinism. In: Burns G, editor. A Companion to Popular Culture. Chichester, West Sussex: Wiley Blackwell; 2016. p. 165-183.

 

  1. Marx L, Smith MR. Does Technology Drive History? The Dilemma of Technological Determinism. Massachusetts, USA: MIT Press; 1994.

 

  1. Halverson ER. Digital art making as a representational process. J Learn Sci. 2013;22(1):121-162. doi: 10.1080/10508406.2011.639471

 

  1. Papagiannis H. The Role of the Artist in Evolving AR as a New Medium. In: 2011 IEEE International Symposium on Mixed and Augmented Reality-Arts, Media, and Humanities. United States: IEEE; 2011. p. 61-65.

 

  1. Edmonds E. Art practice augmented by digital agents. Digit Creat. 2000;11(4):193-204. doi: 10.1076/digc.11.4.193.8875

 

  1. Zhou E, Lee D. Generative artificial intelligence, human creativity, and art. PNAS Nexus. 2024;3(1):1-8. doi: 10.1093/pnasnexus/pgae052

 

  1. Chinese Government. The 14th Five-Year Plan for National Economic and Social Development of the People’s Republic of China and the Outline of the Long-range Goals for 2035; 2021. Available from: https://www.gov.cn/xinwen/2021-03/13/ content_5592681.html [Last accessed on 2024 May 01].

 

  1. Chinese Government. The 14th Five-Year Plan for Cultural Development; 2022. Available from: https://www.gov.cn/ zhengce/2022-08/16/content_5705612.html [Last accessed on 2024 May 01].

 

  1. Chinese Government. Opinions on Promoting the Implementation of the National Cultural Digitization Strategy; 2022. Available from: https://www.gov.cn/ zhengce/2022-05/22/content_5691759.html [Last accessed on 2024 May 01].

 

  1. The Full Text of the White Paper on the Development of Beijing’s Culture Industries; 2022. Available from: https:// mp.weixin.qq.com/s/pofkgnd4b6z1aw7y3jnuia [Last accessed on 2024 May 01].

 

  1. Chinese Government. Notice of the Ministry of Science and Technology and Six Other Departments on the Issuance of the Guiding Opinions on Accelerating Scenario Innovation to Promote the High-Quality Development of the Economy with High-Level Application of Artificial Intelligence; 2022. Available from: https://www.gov.cn/zhengce/zhengceku/2022-08/12/ content_5705154.html [Last accessed on 2024 May 01].

 

  1. Chinese Government. Interim Measures for the Administration of Generative Artificial Intelligence Services; 2023. Available from: https://www.gov.cn/zhengce/ zhengceku/202307/content_6891752.html [Last accessed on 2024 May 01].
Share
Back to top
Arts & Communication, Electronic ISSN: 2972-4090 Published by AccScience Publishing