• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.489-499
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• 2021

This paper proposes an arts and culture content creation tool powered by artificial intelligence. With the recent advances in technologies including artificial intelligence, there are active research activities on creating art and culture contents. However, it is still difficult and cumbersome for those who are not familiar with programming and artificial intelligence. In order to deal with the content creation with new technologies, we analyze related creation tools, services and technologies that process with raw visual and audio data, generate new media contents and visualize intermediate results. We then extract key requirements for a future creation tool for creators who are not familiar with programming and artificial intelligence. We finally introduce an intuitive and integrated content creation tool for end-users. We hope that this tool will allow creators to intuitively and creatively generate new media arts and culture contents based on not only understanding given data but also adopting new technologies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.569-572
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• 2023

최근 하루가 다르게 발전하고 있는 생성형 AI가 창작과 예술 분야에 어떤 영향을 미칠 수 있는지, 새롭게 등장하고 있는 다양한 분야에서 활용 가능한 획기적인 기능 등을 살펴보고 이를 바탕으로 새로운 창작 방향을 제시할 수 있는 방법들을 살펴보려 한다. 최근, 작곡가와 소설가들은 물론, 디지털 아티스트들까지도 생성형 AI를 활용하여 독특한 음악, 글, 그리고 이미지를 창조하는데 성공했다는 사례들이 속속 드러나고 있고 영상, 게임, 웹툰 등 많은 산업현장에서 직접적인 활용방법에 대한 연구결과가 등장하고 실제 적용 사례도 늘어나고 있다. 이미지 생성기인 미드저니와 스테이블디퓨전 같은 도구들은 혁신적인 방법으로 빠르게 높은 퀄리티의 이미지를 생성하고 다양한 아이디어를 제공 받을 수 있는 도구로 창작과 예술 분야에서 큰 관심을 받고 있다. 이러한 발전은 창작과 예술 분야에서 생성형 AI의 무한한 가능성을 보여주는 한편, 인간의 창의성 침해와 예술가들의 노력 희석에 대한 비판적 시각을 불러일으키기도 한다. 본 연구는 이런 다양한 관점에서 창작·예술 분야의 생성형 AI 활용을 깊이 있게 탐구한다. 그 과정에서 여러 생성형 AI 도구들, 특히 이미지 생성기 미드저니와 스테이블디퓨전의 기능과 활용 방안, 그로 인한 사회적, 윤리적 측면을 분석하며, 창작·예술 분야에서의 생성형 AI 활용의 적절한 방향성과 미래 전망을 제시해 보고자 한다.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.119-123
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• 2021

수많은 예술 관련 분야 대학 졸업생들과 예술가들은 많은 시간과 열정을 투자하여 예술 공부와 창작활동을 하지만 창작물을 통해 수익을 창출하는데 많은 어려움을 겪고 있다. 최근에는 이런 문제를 해결하기 위해 많은 예술 플랫폼 창업 기업들이 생기고 있으며 이 기업들은 수익 창출이 어려운 많은 예술가들에게 수익 창출의 기회를 제공하고 있다. 예술가들의 창작물인 그림, 글, 음악, 패션 등을 사업화하여 수익을 창출하는 예술 플랫폼 창업 기업은 그림 대여 및 판매 플랫폼, 예술가 창작물 상품화 플랫폼, 예술 크라우드 펀딩 플랫폼, 공연 전시 플랫폼 이렇게 4가지 분야로 분류해 볼 수 있다. 또한, 국내 창업 생태계의 발전과 함께 예술 플랫폼 창업 기업에 대한 관심이 더욱 증가하고 있지만 예술 플랫폼 형태 분석 및 사례 적용 연구는 미흡한 실정이다. 따라서 본 연구는 예술 플랫폼 창업 기업 형태를 분야별로 분석하여 예술 플랫폼 창업을 준비 중인 예비 창업자들에게 향후 예술 창업 전략 수립에 있어 시사점을 제고시하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.85-88
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• 2023

미국 콜로라도주 박람회 미술전에서 신인 디지털 아티스트 부문에서 1위를 차지한 게임 디자이너인 제이슨 앨런의 작품 스페이스오페라 극장'이 AI Image generator Midjourney를 활용해서 완성된 작품이라는 것이 알려지면서 창작과 예술 분야에 AI 활용이라는 논쟁이 가속화되고 있다. 창작과 예술을 돕는 탁월한 기능을 가진 툴로 바라보거나 창작과 예술 활동에 아이디어를 제공하고 작품을 구체화하는 과정의 조력자로 환영하는 입장과 예술가의 작품을 허가 없이 훔쳐서 만들어 낸 이미지일 뿐이라는 이상도 이하도 아니며 도덕적으로 허락되어서는 안되다는 입장이 크게 충돌하고 있다. 하루가 다르게 빠르게 발전하고 있는 주요 AI Image generator를 살펴보고 창작과 예술 분야에 AI 활용은 어떤 변화를 가져올지, AI 활용의 긍정적인 측면을 예측하고 연구해 보고자 한다.

• The Journal of Bigdata
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• v.9 no.1
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• pp.197-208
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• 2024

Today, faculty performance evaluations conducted in universities to comprehensively assess faculty members have yielded outcomes that deviate from the original intent of the system due to its quantitative assessment-centric approach. The field of theater arts, in particular, faces challenges in fairly and objectively measuring research and creative achievements through traditional quantitative evaluation methods, owing to the highly subjective nature of its outputs compared to other academic disciplines. This study proposes a method to improve the evaluation of research and creative achievements in the field of theater arts through the utilization of big data. First, we investigated the current evaluation criteria and methods used in research and creative achievement assessments in theater arts departments at major domestic universities. Next, we analyzed the key issues related to the existing evaluation system for research and creative achievements in the field of theater arts. Finally, we presented an improvement plan for the evaluation system using the big data available from the Korea Performing Arts Box Office Information System (KOPIS). This study aims to support the research and creative activities of theater arts faculty more effectively and to enhance the competitive edge of universities.

• Korean Association of Arts Management
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• no.51
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• pp.167-190
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• 2019

Copyright law has functioned to certify the authorship and artistic identity of an artist as well as to remunerate the artist's labor in monetary terms. However, the legal stability of copyright law may be questioned and even challenged because it shares the ground with unfixed notions of the concept of art. This study is an attempt to find theoretical argument where such instability of copyright law stems from, by looking into the theories of Aesthetics and history of arts. The first argument builds up on the ambiguity of discriminating between the Aesthetic concept of expression and idea. The second argument illuminates how new conventions of creating art work and emerging ideals of making art prevents to accommodate copyright law in the fields of art. New art forms such as conceptual art and place specific art are such examples. Increasing role of public arts projects also questions the conventional adoptions of copyright law. Arts management is closely related with this phenomena since their job is to administer the complex situation of introducing artists to the knowledge of copyright law.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.154-163
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• 2014

This paper has examined the current status of Korea's welfare policy and asserts the necessity of artist classification by types of employment, dividing them into those who have irregular jobs and those who are in permanent positions, focusing on filmmakers. Furthermore, it has looked into the certification policy for artist welfare support that is currently in action. In conclusion, this paper discusses the certification and suggests implementation methods for "Artist Welfare Card" in expectation of future activation of Artist Welfare Support Project.

• Trans-
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• v.13
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• pp.117-140
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• 2022

Recently, artificial intelligence technology is being used throughout the industry. Currently, Currently, AI art generators are used in the NFT industry, and works using them have been exhibited and sold. AI art generators in the art field include Gated Photos, Google Deep Dream, Sketch-RNN, and Auto Draw. AI art generators in the music field are Beat Blender, Google Doodle Bach, AIVA, Duet, and Neural Synth. The characteristics of AI art generators are as follows. First, AI art generator in the art field are being used to create new works based on existing work data. Second, it is possible to quickly and quickly derive creative results to provide ideas to creators, or to implement various creative materials. In the future, AI art generators are expected to have a great influence on content planning and production such as visual art, music composition, literature, and movie.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.163-174
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• 2020

The purpose of this study is to derive the characteristics of the creative process of convergence performing arts. Therefore, the PADAF-Play and Dance Art Festival, a representative convergence performing arts festival in Korea that has been held steadily every year since the first event in 2011, was selected as the subject of the study. Through PADAF, a representative convergence performing arts festival in Korea, qualitative case studies were selected through process-oriented discovery to study the characteristics of the creative process of convergence performing arts, which is a key feature of performing arts in the 21st century. For realistic and empirical research, the 8th and 9th PADAF participated in the entire process from the initial stage of preparation to the closing ceremony and conducted several in-depth interviews with PADAF officials and participating artists. Looking at the characteristics of the convergence performance art creation process through PADAF, creators overcame difficulties that they had not thought of in different ways in the process of meeting different heterogeneous genres, but through understanding other genres, experiential values through convergence, sharing as collaborators, and various ways of communication. The characteristics of the convergence performing arts creation process, which is focused on PADAF, are "Rhizom thinking" by French philosopher Gilles Deleuze(1925-1995), "Collective intelligence," and "Experimental Value for Experimental Creation" by creators. Through this derivation, we will help the changing performing arts scene based on the basic human desire to understand convergence performance art a little more and communicate through the extended expression of convergence.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.723-730
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• 2024

In order to trace the changes in the concept and understanding of automatically generated images, this study analogously explores the creative methods of photography and cinema, which represent the existing image fields, in terms of AI-based image creation methods and 'automaticity', and discusses the understanding and possibilities of new automatic image creation. At the time of the invention of photography and cinema, the field of 'automatic creation' was established for them in comparison to traditional art genres such as painting. Recently, as AI has been applied to video production, the concept of 'automatic creation' has been expanded, and experimental creations that freely cross the boundaries of literature, art, photography, and film are active. By utilizing technologies such as machine learning and deep learning, AI automated creation allows AI to perform the creative process independently. Automated creation using AI can greatly improve efficiency, but it also risks compromising the personal and subjective nature of art. The problem stems from the fact that AI cannot completely replace human creativity.