Artificial Intelligence and Autonomous Visual Arts (original) (raw)

ARTificial Intelligence & ARTificial ART.pdf

Ars Electronica. Band 2. Virtuelle Welten, 1990

In showing the interconnections between art and artificial intelligence we want to analyze the connections between these two areas and how they can learn from each other. We don't want to give a summary of recent or possible projects; instead, we will focus on new tendencies to​ animate the discussion on such topics.

Redefining the role of Artificial Intelligence in artistic production

Since the development of Artificial Intelligence (AI) systems, their pervasiveness has rapidly grown to the point of gaining access to one of the most typical among human activities, the one of art. In the latest years we have indeed witnessed advances outlining AI’s “creative” abilities, now finding applications in the fields of visual art, literature, poetry, and music. As a matter of fact, in many cases, people are no longer able to easily discern what is AI-made from what is human-made and show often a negative bias towards artistic products that are declared to be AI-made. Even though such technologies are capable of rapidly and efficiently generating images, texts, and music, that often are also pleasant, the history of art and aesthetics suggests that the works of art – those that we recognize as such over the centuries – have little to do with technical ability, and rather rely on aesthetic principles, of which the artwork per se is merely representative. We therefore propos...

Artificial Intelligence as a Tool for Creating and Analysing Works of Art

Kulʹtura ì mistectvo u sučasnomu svìtì, 2021

The purpose of the article is to reveal the specifics of creating new works of art using artificial intelligence technologies. The research methodology is based on the application of the dialectical method with its principles of consistency, development and unity of polarities since artificial intelligence as a complex sociocultural phenomenon provides unambiguous definitions and at the same time forces to interpret its essence and relations dialectically to its application field. The scientific novelty of the obtained results lies in the fact that artificial intelligence is considered a component of artistic creativity, one of which is to introduce technical innovations in human culture. Conclusions. The article focuses on the fact that the artificial intelligence issue is beyond the cultural discourse, and separating the artificial intelligence issue from culture inevitably leads to a simplified understanding. It is noted that the relevance of cultural research of artificial intelligence (AI) is determined by the spread of symbiotic forms of interaction between the user and global software, which requires not so much evaluating and correcting the negative consequences of the spread of technology but rather the development of meta technology to prevent them. For its part, the reflection of culture, when the latter rejects the ideas of the techno apocalypse and the rise of machines, can give an impetus to the emergence of new meanings and perspectives for man and culture. Finally, the article provides examples of the AI technologies use (in particular, Gan and CAN) in contemporary art. However, the more AI technologies are used in creating works of art, the more valuable an idea or a concept becomes. Today, when the performance and physical implementation of a project can be "shifted" to AI, new ideas become the main driving force in the development of art. The ideas generation may become the primary option not of a person but of a "machine", which, once again, proves the correctness of the assumption that every year such human abilities as creativity, generation of new extraordinary ideas and solutions will become more valuable. And the routine performance, the analysis of big data, etc., are the tasks for machines, and they perform this work better than a human.

Artistic Style Meets Artificial Intelligence

Journal of Perceptual Imaging, 2021

Recent developments in neural network image processing motivate the question, how these technologies might better serve visual artists. Research goals to date have largely focused on either pastiche interpretations of what is framed as artistic “style” or seek to divulge heretofore unimaginable dimensions of algorithmic “latent space,” but have failed to address the process an artist might actually pursue, when engaged in the reflective act of developing an image from imagination and lived experience. The tools, in other words, are constituted in research demonstrations rather than as tools of creative expression. In this article, the authors explore the phenomenology of the creative environment afforded by artificially intelligent image transformation and generation, drawn from autoethnographic reviews of the authors’ individual approaches to artificial intelligence (AI) art. They offer a post-phenomenology of “neural media” such that visual artists may begin to work with AI techno...

REFLECTIONS ON THE USE OF ARTIFICIAL INTELLIGENCE IN WORKS OF ART

Journal of Aesthetics, Design, and Art Management, 2022

This paper aims to reflect on the use of Artificial Intelligence (AI) in works of art, examining its impact on the creative process, aesthetics, and audience reception, then provide a critical reflection on the use of AI in works of art, examining its potential benefits and drawbacks and exploring the ethical considerations involved. The paper examines the use of AI in works of art, with a focus on the methodologies and case studies that demonstrate the potential and challenges of this emerging field. Research methods: The paper presents case studies of notable artworks that utilize AI, discusses the potential benefits and drawbacks of AI in art, and explores the ethical considerations involved. Through a review of the literature and analysis of six case studies, we explore the aesthetic, technical, and social dimensions of AI-generated art, as well as the ethical and critical debates surrounding its production and reception. Findings: The paper concludes by emphasizing the importance of critical engagement and continued reflection on the use of AI in art. Our findings suggest that AI can offer new modes of creative expression and engagement, but also raise questions about the role of human agency and interpretation in the artistic process. Implications: AI-generated art offers new opportunities and challenges for artists, scholars, and audiences, and future research should focus on developing ethical guidelines, exploring collaborative practices, and examining the social and political implications of AI-based art. Case studies of AI-generated art can help us understand the potentials and limitations of this field by providing specific examples of how AI is being used to create art, and how artists and audiences are engaging with these works. These studies can provide insights into the creative processes, technical challenges, and social implications of AI-generated art.

Reviewing the Role of Artificial Intelligence in Creating Original Works of Art Case Study: Harold Cohen's Paintings

Bagh-e Nazar Journal, 2024

Problem statement: The increasing use of artificial intelligence in the field of visual arts has led to the creation of innovative and diverse works of art. However, despite the widespread interest of artists in using this technology, its place and importance in creating an artwork has not been carefully evaluated. Among the central questions in this regard is the role of artificial intelligence in the formation of original works of art. Research objectives: The purpose of this research is to investigate the role and importance of artificial intelligence in creating original works of art. For this purpose, the works of Harold Cohen, who is one of the pioneers of using artificial intelligence in the art of painting, will be evaluated. Therefore, in the first part, the concept of artificial intelligence is briefly stated. Then the Chinese room thought experiment, which is one of the most prominent tests related to artificial intelligence, will be used as a tool to check the performance of the machine "AARON", created by Harold Cohen. In this test, "creativity", "awareness" and "experience" will be evaluated as the main components of producing original works of art. In the following, problems related to the role of the mentioned components in the performance of AARON will be listed. Finally, an attempt is made to present a new formulation of these fundamental concepts, despite the flaws in the works produced by AARON, it has an undeniable role in the creation of the artwork. Research method: In order to evaluate AARON's performance in the formation of the artwork, this research considers John Searle's approach and his Chinese room argument. Conclusion: Artificial intelligence plays an important and undeniable role in the production of original, innovative and creative works of art.

Poetics of Artificial Intelligence in Art Practice

Poetics of Artificial Intelligence in Art Practice: (Mis)apprehended Bodies Remixed as Language, 2022

With a focus on the last five years, art employing artificial intelligence (AI) has been defined by a spectrum of activity, from the deep learning explorations of neural network researchers to artists critiquing the broader social implications of AI technology. There is an emergence of and increasing access to new tools and techniques for repurposing and manipulating material in unprecedented ways in art. At the same time, there is a dearth of language outside the scientific domain with which to discuss it. A combination of contextual review, comparison of artistic approaches, and practical projects explore speculation that the conceptual repertoire for remix studies can open up to art enabled by AI and machine learning (ML).