Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Future Scenarios of Arts and Culture Content with Artificial Intelligence Development

인공지능 발전에 따른 문화예술콘텐츠의 미래 시나리오

  • Ko, Jeong-min (Arts and Cultural Management, Hong-ik University) ;
  • Jeong, Yu-na (Arts and Cultural Management, Hong-ik University)
  • 고정민 (홍익대학교 문화예술경영대학원) ;
  • 정유나 (홍익대학교 문화예술경영학과)
  • Received : 2020.09.22
  • Accepted : 2020.12.20
  • Published : 2020.12.28
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Abstract

This paper aims to show the development pattern of the impact of artificial intelligence on the arts and culture according to the scenario analysis, and suggests the direction of the arts and culture content industry in the future. We assume four scenarios based on creativity of artificial intelligence beyond humans and controllability for them, then explore the path leading to each scenario. In addition, for the most ideal route to coexist with artificial intelligence, we propose the provision of safety system for human and artificial intelligence, innovation of the education system, and preemptive investment from now on.

본 연구의 목적은 시나리오기법에 따라 인공지능이 문화예술 분야에 미치는 영향의 전개 양상을 분석하고 미래의 경로를 예측하여, 미래 문화예술콘텐츠산업의 대응 방향을 제시하는 것이다. 인공지능의 창의적 활동이 인간의 창의성을 뛰어넘을지, 인간이 이를 통제할 수 있을지에 따라 4가지 시나리오를 가정하고 각 시나리오로 이어지는 경로를 탐색해 가장 이상적인 경로를 설정했다. 연구결과, 인공지능이 언젠간 인간의 창의성을 뛰어넘을 것을 대비하며 인공지능과 공존하기 위해 관리체계를 마련하는 것이 가장 이상적인 시나리오이자 이동 경로가 될 것으로 보았다. 그리고 이러한 경로로 가기 위해 지금부터 준비해야 할 대응 방향으로 안전장치의 마련, 교육시스템의 혁신, 선제적 투자를 제안하였다. 인공지능과 공존할 미래를 위해서는 인공지능이 인간을 위협하는 사태를 방지하는 제도적 장치 마련, 기술과 예술 융합 인재 양성을 위한 교육체계 정비, 기술 및 기술 응용 콘텐츠와 콘텐츠산업에 대한 적극적인 투자가 필요하다.

Keywords

References

  1. J. M. Ko. (2018). 4th Revolution and Strategy on Contents Industry Competitiveness Enhancement. Seoul: Korea Creative Content Agency Research.
  2. T. Duel. (2015). Artificial Intelligence Able to Create Music. Next Nature Network. https://nextnature.net/2015/03/artificial-intelligenceable-to-create-music
  3. C. Z. A. Huang et al. (2019). Coconet: the ML Model Behind Today's Bach Doodle. Magenta. https://magenta.tensorflow.org/coconet
  4. D. Takahashi. (2019). Promethean AI Automatically Generates Game Scenes, like a Bedroom, for Human Artists. Venturebeat. https://venturebeat.com/2019/04/07/promethean-aiautomatically-generates-game-scenes-like-a-bedroom-for-human-artists/
  5. W. J. Sung & S. S. Hwang. (2017). A Review of Intelligent Society Studies: A Look on the Future of AI and Policy Issues. Informatization Policy, 24(2), 3-19. DOI : 10.22693/NIAIP.2017.24.2.003
  6. H. Cohen. (1974). On Purpose: An Enquiry into Possible Roles of the Computer Art. Studio International, 187(962), 11-16.
  7. L. Moura. (2018). Robot Art: An Interview with Leonel Moura in Arts. Multidisciplinary Digital Publishing Institute, 7(3), 28-32. DOI : 10.3390/arts7030028
  8. S. Wilson. (1995). Artificial Intelligence Research as Art. Stanford Humanities Review, 4(2), 171-186.
  9. Y. R. Cha. (2018). Artificial Intelligence Strategy for Advertising and Media Industries: Focused on In-depth Interviews. The Journal of the Korea Contents Association, 18(9), 102-115. DOI : 10.5392/JKCA.2018.18.09.102
  10. O. Kulesz. (2018). Culture, Platforms and Machines: The Impact of Artificial Intelligence on the Diversity of Cultural Expressions. Paris: Intergovernmental Committee for the Protection and Promotion of the Diversity of Cultural Expressions.
  11. S. Y. Kim. (2018). The 4th Industrial Revolution in Art. Seoul: Byul.
  12. Christie's Auctions. (2018). Is Artificial Intelligence Set to Become Art's Next Medium?. Christies. https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx
  13. J. P. Guilford. (1950). Creativity. American Psychologist, 5, 444-454. https://doi.org/10.1037/h0063487
  14. D. Eagleman & A. Brandt. (2019). The Runaway Species: How Human Creativity Remakes the World. Seoul: Samnparkers.
  15. F. Tao, X. Zou & D. Ren. (2018). The Art of Human Intelligence and the Technology of Artificial Intelligence: Artificial Intelligence Visual Art Research. Intelligence Science II(pp. 146-155). Cham: Springer.
  16. M. Lindgren & H. Bandhold. (2012). Scenario Planning. Seoul: Philmac.
  17. S. S. Nam, B. Y. Hwang & H. L. Choi. (2009). Korean Application Model Development of Scenario Planning. Chungbuk: Korea Institute of Science & Technology Evaluation and Planning.
  18. R. Augustus et al. (2016). The Next Rembrandt. The Next Rembrandt. https://www.nextrembrandt.com/
  19. P. Siarri. (2019). A Writing Algorithm that Finishes Stories. Medium. https://medium.com/artificial-intelligence-network/a-writing-algorithm-that-finishes-stories-3971c0896bb9
  20. David. (2018). [AI Planning①] AI vs. AGI, The Concept of AI and the Future. The Science Monitor. http://scimonitors.com/