The rise of AI art: A look through digital artists' eyes

The advent of the digital age has given new forms and new connotations to artistic creation, and more and more digital media technologies have entered the stage of artistic creation and exhibitions. At present, holographic projection technology has become a hot application technology in the field of digital media art. The purpose of this paper is to explore the technical principles of holographic projection technology and its application in the field of digital media art, so as to provide suggestions for the application and promotion of holographic projection technology and the development and innovation of digital media art. First of all, this article understands the technical principles of holographic projection and its application status in various fields, especially in the field of digital media art, through relevant literature research. Then, this article introduces the digital holographic technology, virtual imaging technology, and computer simulation technology used in the realization of holographic projection technology. Then, based on the advantages of holographic projection technology in three‐dimensional image recording and reproduction, this paper proposes to introduce holographic projection technology to digital art museums, digital art exhibitions, and other digital media art applications and to study the effect of holographic projection technology on art through simulation experiments, the effect of recording and reproducing the image of the work. Finally, the three‐dimensional reconstruction image of the digital holographic projection experiment on the artwork is compared with the simulated image of the Contour GT profiler to verify the feasibility of applying the holographic projection technology to art exhibitions and the effect of three‐dimensional image recording and reproduction. Research shows that the holographic projection technology can achieve 93.34% of the simulation effect of recording and reproducing 3D images of artworks. It is also found that 59.86% of the audience who pay attention to the art experience strongly support the application of holographic projection technology in digital media art fields such as digital art gallery. This fully proves the feasibility of applying holographic projection technology to digital art exhibitions and provides a full range of artistic experience for audiences who cannot be present.

Purpose. To serve as a reference for the evolution of the online digital art display industry, as well as to conduct further studies in the field of digital entertainment art in the showcase design business in order to give solid evidentiary assurances, this article presents a virtual reality which is a technology reality-based digital media art exhibition design with the goal of examining the new construction trend of online media art with in context of existing period and the use of sophisticated technology. Implications. This paper enriches the theory, skills, and means of digital cultural communication, opens up a broader space and vision for digital media art communication, enriches the communication skills and means of digital media, and provides flexible and efficient ideas and methods for the dissemination of digital media art, which is of practical significance for realizing the active and effective dissemination of digital media art. Methodology. The method of this paper is to use the digital three-dimensional panorama technology of virtual reality to explore the digital media art display and digital media art expression form of augmented reality. The role of these methods is to solve the problem of spatial positioning of virtual 3D objects in real scenes and to judge the final detection model, the problem of model making to satisfy AR computing power, and the problem of scene interaction. Research Findings. Through a mix of digital content artwork and virtual reality and augmented reality technologies, this research examines the impact of AR and VR in digital art and analyzes and summarizes a series of design strategies for digital media art display projects. The results show that people are 33.6% more satisfied with VR and AR displays than traditional displays.

In a broad sense, digital art is contemporary art using mass production or digital media methods. Data can be operated in various ways and stored in the database, and applied in various environments and various disciplines. Long distance information transmission technology has changed the way people participate in artistic activities. Art works begin to have not only interactive and non-material characteristics, but also break the limitations of time and space. The most prominent feature of digital interactive art is digital and interactive. Digital art works must fully or partially use digital technology in the implementation process. Digital art can be purely computer-generated, or draw images through mouse markers and drawing boards by scanning photos or using vector graphics software. This article is based on 3D digital interactive technology, using comparative analysis, document analysis and other methods to study the creative painting automatic design system, with a view to perfecting the structure of the creative painting automatic design system, improving the level of artistic design, and designing more creative and meaningful designs. Digital painting works. The thesis first sorts out the application status of 3D digital interactive technology in the field of contemporary art, then compares the similarities and differences between traditional art works and 3D digital interactive technology artworks, emphasizes the multi-dimensional interactive logic of 3D digital interactive technology art works, and then analyzes 3D digital The main morphological characteristics of interactive art make a reasonable argument for the realization of complementary advantages after the automatic design system of creative painting is integrated into 3D digital interactive art.

The relevance of the study is driven by the advancing development of artificial intelligence (AI), which presents new prospects for the creative education of students on Art educational programs. The research problem lies in the current challenges to traditional art learning practices, which are losing relevance due to changes and the potential integration of artificial intelligence (AI) technologies. The aim of the research is to review the creative learning process of art students to identify: criteria for forming competencies in the fields of visual arts with the application of AI technologies, AI tools for teaching students in the field of visual arts, key competencies in working with virtual tools for students and teachers in the field of education and art, and to define recommendations for the implementation of AI in the art students’ learning process. The methodological framework is based on interdisciplinary examination of researchers' works in education and art. Research methods include overview-theoretical, art-historical, methodological-pedagogical analysis, as well as comparative and case–study approaches. The theoretical significance of the research lies in reviewing the trajectories of education in the field of neural networks and providing scientific–theoretical justification for the application of AI technologies in the creative learning process of students enrolled in visual arts programs. The practical value offers recommendations for the formation of modern and efficient educational strategies in the field of art at the student level, including the specification of concepts and terms, defining curricula with new educational methodologies and personalized educational practices, adaptation to changing labor market demand, and laying the groundwork for further research. Implementing the research findings will enable the systematization and optimization of methodologies and approaches to the creative learing process of students on Art educational programs through AI tools, virtual, and augmented reality.

The research relevance is determined by the importance of a thorough study of methods, schemes and models used by artificial intelligence to mechanise creativity in modern conditions of active technological development. The study aims to analyse the main processes taking place in modern art in connection with active technologization of work processes, to identify the leading concepts regarding the possibility of creating machine art in the future, etc. The employed methods are theoretical, such as analysis, systematisation, generalisation, etc., for studying key problems and further development of creativity based on artificial intelligence. The study examines in detail the main developments of Artificial General Intelligence and Artificial Narrow Intelligence, in particular the achievements of Generative adversarial networks and Creative adversarial networks. Artificial intelligence-generated art demonstrates the remarkable capabilities of technologies. The evolving artificial intelligence in the arts introduces “digital art”. Generative Adversarial Networks are used as a foundational tool for artists who use digital methods and texture generation to create unique compositions. Furthermore, sculptors collaborate with artificial intelligence tools to convert drawings into 3D models or transform historical art databases into sculptures. Creative thinking, a hallmark of human intelligence, is determined as artificial intelligence’s ability to generate new and original ideas. The development of emotional intelligence in artificial intelligence enables empathetic responses and the identification of human emotions through voice and facial expressions. The issues of authorised internationality, awareness of the creative process, psychological foundations of artificial empathy and emotional intelligence define the prospects for the development of neuroscience. Challenges persist in defining creativity, authorship, and legal aspects of artificial intelligence-generated art. The study materials may be useful for artists, art educators, technologists, and researchers interested in the intersection of technology and art, legal professionals (especially intellectual property law), and individuals involved in artificial intelligence development may find these findings valuable

The research relevance is determined by the importance of a thorough study of methods, schemes and models used by artificial intelligence to mechanise creativity in modern conditions of active technological development. The study aims to analyse the main processes taking place in modern art in connection with active technologization of work processes, to identify the leading concepts regarding the possibility of creating machine art in the future, etc. The employed methods are theoretical, such as analysis, systematisation, generalisation, etc., for studying key problems and further development of creativity based on artificial intelligence. The study examines in detail the main developments of Artificial General Intelligence and Artificial Narrow Intelligence, in particular the achievements of Generative adversarial networks and Creative adversarial networks. Artificial intelligence-generated art demonstrates the remarkable capabilities of technologies. The evolving artificial intelligence in the arts introduces “digital art”. Generative Adversarial Networks are used as a foundational tool for artists who use digital methods and texture generation to create unique compositions. Furthermore, sculptors collaborate with artificial intelligence tools to convert drawings into 3D models or transform historical art databases into sculptures. Creative thinking, a hallmark of human intelligence, is determined as artificial intelligence’s ability to generate new and original ideas. The development of emotional intelligence in artificial intelligence enables empathetic responses and the identification of human emotions through voice and facial expressions. The issues of authorised internationality, awareness of the creative process, psychological foundations of artificial empathy and emotional intelligence define the prospects for the development of neuroscience. Challenges persist in defining creativity, authorship, and legal aspects of artificial intelligence-generated art. The study materials may be useful for artists, art educators, technologists, and researchers interested in the intersection of technology and art, legal professionals (especially intellectual property law), and individuals involved in artificial intelligence development may find these findings valuable

Digital technologies have increased our ability to process images. Artists in the past had fewer tools at their disposal to create their artworks. There is a revolution in art today thanks to development of computer technologies. Activities of artists using new technological tools that emerge with digitalization can be defined as digital art. All branches of art where art and technology combine are within the scope of digital art. The main difference between traditional art and digital art is the medium where the artwork is created. In traditional art, a musician uses a musical instrument to display his work, or a painter produces his work with canvas and brush. In digital art, this occurs using technological devices. Many applications, from digital graphic arrangements to video installations, from virtual realities to artificial intelligence applications, fall within the scope of digital art. This article's goals are to investigate how technology has affected art throughout history and to look at how digital art is created and sold. In this article, the impact of artificial intelligence on today's art and artists will be examined. NFTs, another controversial artwork of today, will be focused on and information will be given about the variants of these new technologies in today's art. Literature review and compilation were chosen as the method. According to the findings, artists who closely follow technological developments are the pioneers of the digitalization and dissemination of art. With the evolution of artificial intelligence from its first applications to the present day, artificial intelligence has now turned into a productive tool that can produce works that have never existed before, beyond being just an algorithm. In addition, it has been observed that, thanks to NFTs, digital art can escape the authority of art institutions, create its own autonomous space in a decentralized environment, and present itself as a digital asset open to everyone.

The active use of new digital technologies in the art of music is becoming the basis of a new aesthetic perception. The possibilities of digital technology to transform the voices of performers make it relevant to consider the role of vocal aesthetics in digital music art. This study aims to investigate the features of vocal aesthetics perception in digital art. The perception of musical works as pleasant or unpleasant correlates with the psycho-emotional state of the listener; thus, to study the psycho-emotional impact of synthesized vocal without instrumental accompaniment, the authors used Kunin projective physiognomic test (1977), the WAM (Well-being, Activity, Mood) technique (1973), and the Wessman-Ricks self-assessment of mental state technique (2004). The study involved 182 students and teachers of Music College, Ningbo University, China. The study of the psycho-emotional state of respondents before and after listening to synthesized vocal compositions allowed the authors to indirectly evaluate the aesthetic perception of digital music art. After listening to the vocal digital fragment, which included both major and minor fragments of different tempo and rhythm, the overall mood in the group of respondents significantly improved: good mood was detected in 26.9% of cases, and very good - in 11.5%. The positive impact of listening to a vocal digital song on the well-being, activity, and mood of the respondents correlates with its positive aesthetic impact. The research confirms that aesthetic properties are directly dependent on the listener's point of view, aesthetic experience is a matter of value and emotion, and aesthetic feeling arises as a result of an unconscious process and is associated with the normalizing effect of digital vocal composition on the psycho-emotional state of the respondents.

EVA Copenhagen 2018 - Politics of the Machines - Art and After - Index

NFTs and Digital Art

At present, artificial intelligence technology has developed rapidly and has been gradually applied to various fields of society. With the popularization and development of computers, under the influence of artificial intelligence technology, digital media art and artificial intelligence technology merge with each other, which makes modern culture bloom with greater charm. Based on the era of artificial intelligence, this paper discusses the development core of the integration of artificial intelligence technology and digital media art, analyzes the current development status of digital media art and technology, and finally puts forward the innovative development direction and future trend. At present, China’s artificial intelligence technology has gradually entered a prosperous stage in the continuous development and has become one of the high and new technologies in the new era, bringing many changes to people’s work and life. With the development of society, modern people are pursuing the two-way needs of material and spirit, and art, as a special field, has attracted much attention. By involving artificial intelligence in the art field, it has become a new challenge to be faced at present, which will promote art and technology to present different forms of expression. Of course, the artistic content of digital media art will be richer, and the attention will be higher. Under the background of artificial intelligence era, the integration of artificial intelligence and digital media is the core industry at present, which promotes the development of China’s economy in a better direction.

From prehistoric cave paintings to contemporary digital creations, art has been integral to human expression throughout history. Digital art in modern art gradually includes various forms, such as Painting, sculpture and animation, using technology as its medium. Digital art includes any artistic work using digital technology, including Painting, 3D modelling, and interactive installations. It combines human creativity with computer technology, expanding the possibilities of creative expression. Studying digital artistry in India provides insights into cultural preservation, technological innovation, and social commentary. It promotes educational development and economic opportunities, contributing to the country's vibrant artistic scene. Technological advancements have democratized digital art creation in India, leading to diverse artistic expressions. Integrating digital art with emerging technologies like AR, VR, and NFTs opens up new possibilities for artistic exploration and dissemination. Digital art techniques include digital Painting, vector art, and 3D modelling, facilitated by hardware such as graphics tablets and software such as Adobe Creative Cloud. Brushes, textures and plugins enhance the creative process, while photo manipulation and 3D sculpting provide new avenues for artistic expression. Digital artistry in India offers insights into cultural dynamism, technological innovation and artistic development. This research paper delves into the evolving landscape of digital artistry in India, exploring various techniques, trends, and the socio-cultural impact of digital art in the country.

This paper discusses the application of digital media art design based on deep learning algorithm in Urban culture creative industry. With the rapid development of digital technology and artificial intelligence, digital media art design has become an important part of Urban culture creative industry. First, this paper introduces the importance and development trend of Urban culture creative industry. Secondly, this article explores the application of deep learning algorithms in digital media art design. Deep learning algorithms can achieve image recognition, generation, and processing through a large amount of training data and neural network models. In digital media art design, deep learning algorithms can be used for style conversion of images, automatic generation of artistic creations, virtual reality experience, and other aspects, providing more creative tools and possibilities for artistic creators. Finally, this paper summarizes the application value and prospect of digital media art design based on deep learning algorithm in Urban culture creative industry. Deep learning algorithms can provide more creative tools and technical support for digital media art design, promoting artistic innovation and industrial development. In the future, we can further explore the application of deep learning algorithm in art creation, improve the quality and practicability of digital media art design, and promote the sustainable development of Urban culture creative industry.

Digital artists with motor impairments in their upper limbs face considerable barriers to accessibility when using drawing tools. Our work aims to investigate the complex relationship between digital artists’ creative processes and their accessibility challenges. We conducted 15 interviews with artists who use input devices to make digital art, analyzing their accessibility challenges for producing digital artwork. We reviewed how effective the solutions are in diminishing the impact on their creative processes and identifying design opportunities for the research community. Using thematic analysis, we look at the challenges participants reported in their artistic production, including managing pain, discomfort, and injuries alongside workarounds. Secondly, the artists reported the complexities of managing internal and external perceptions. Lastly, the ways creative processes are impacted by the accessibility challenges and solutions related to their upper limb motor impairments. We discuss research directions which can better address the impact of accessibility challenges on creative processes, the balance of creative agency over tools, and design insights for more accessible artistic technologies.

International audience