AI-Generated Art: A Futurist Manifesto (original) (raw)
Related papers
A Digital Aesthetics? Artificial Intelligence and the Future of the Art
Artificial intelligence has brought about significant changes in various creative domains, sparking discussions about the nature of art and its authenticity in the era of AI. Some scholars assert that the computer monitor now serves as a canvas, a brush, a musical instrument, and even an art tutor, leading us to explore deeper connections between AI and creativity. However, in this presentation, we wish to emphasize the humanistic dimension of creative processes once more. we acknowledge the role of AI in enhancing creative endeavors, but we firmly believe that human creativity remains paramount in the production of artistic works. The current notion of machines replacing artists is, in our view, more of a media sensation than a reality. Examining the history of electronic arts, our paper argues that claims of AI's artistic superiority are not novel; they echo similar trends from the past. The current enthusiasm mirrors earlier media frenzies. While the sciences have made significant strides in unraveling the mysteries of the human brain, our understanding of the intricacies of our remarkably creative minds, their origins, and their fulfillment in our brains This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY NC), which permits distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Exploring artistic frontiers in the era of artificial intelligence
Exploring artistic frontiers in the era of artificial intelligence, 2024
Artificial Intelligence (AI) has emerged as a groundbreaking force in the world of art, redefining the boundaries of creativity and offering new experiences. This article focuses on exploring the impressive realm of artistic endeavors shaped by AI and how it has changed the traditional art paradigm. The materials and techniques used in artworks produced by AI surpass traditional boundaries, incorporating elements such as virtual and augmented reality, robot technologies, and 3D printing. These approaches make significant contributions to the art world, expanding the boundaries of artistic expression and supporting the creative process for artists. Additionally, AI makes art more accessible to a broader audience, promoting inclusivity. However, these innovations also lead to significant debates in the art world. Questions about the reality of AI-generated art, the role of the artist in this process, and the future of art in the age of AI are prominent. AI-supported or AI-generated art redraws boundaries across a spectrum ranging from complex digital landscapes to interactive installations. The impact and future trajectory of these approaches depend on evolving values in the art world and society at large, holding the potential to transform artistic paradigms at the intersection of technological innovation and creative expression.
AI-GENERATED ART: A CORNUCOPIA OF CREATIVE OPPORTUNITIES OR A THREAT TO EDUCATION
EDULEARN24 Proceedings, IATED, 2024
Artificial Intelligence (AI) 's emergence in art has significantly transformed the creative process. As a result, it has raised questions related to artistic autonomy and the role of AI in shaping the art landscape. The impact of AI on art and museum education is a hotly debated topic, and it represents a significant paradigm shift with far-reaching implications. For example, AI-generated art, created by entities like DALL•E and Midjourney, challenges traditional notions of creativity and carries significant cultural and economic consequences for the creative sectors. This article aims to explore the philosophical, practical, and legal aspects that arise from AI-generated art. It analyses the impact of AI on creativity, motivation, self-awareness, and emotion, delving into the fundamental elements of artistic expression. It emphasises the importance of understanding the influence of AI on art education and society and its impact on learning activities and educational motivation in art pedagogy. While some argue that AI-generated art undermines the authenticity and originality of human creativity, leading to a homogenisation of artistic expression, others contend that AI has the potential to nurture creativity, enhance learning experiences, and prepare students for a future where AI will be pervasive in the art landscape. This debate seeks to provide students and future creators with an awareness of the challenges of AI and its appropriate use in educational settings at all levels. It also explores the critical conundrum of intellectual property and copyright that arises in the context of AI-generated art, analysing the legal implications and presenting relevant case studies and practical examples to recognise creativity and innovation. Defining "artwork" to understand the property rules for AI-generated art becomes crucial for identifying creativity and innovation options. Therefore, this article highlights ways to thoughtfully and ethically adopt AI technologies to address contemporary concerns.
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...
Art, Creativity and the Potential of Artificial Intelligence
Arts, 2019
Our essay discusses an AI process developed for making art (AICAN), and the issues AI creativity raises for understanding art and artists in the 21st century. Backed by our training in computer science (Elgammal) and art history (Mazzone), we argue for the consideration of AICAN’s works as art, relate AICAN works to the contemporary art context, and urge a reconsideration of how we might define human and machine creativity. Our work in developing AI processes for art making, style analysis, and detecting large-scale style patterns in art history has led us to carefully consider the history and dynamics of human art-making and to examine how those patterns can be modeled and taught to the machine. We advocate for a connection between machine creativity and art broadly defined as parallel to but not in conflict with human artists and their emotional and social intentions of art making. Rather, we urge a partnership between human and machine creativity when called for, seeing in this collaboration a means to maximize both partners’ creative strengths.
Journal of Human-Technology Relations, 2023
Artificial intelligence (AI); DALL-E; art; aesthetics; philosophy of technology; process philosophy; performance AI image generators such as DALL-E 2 are deep learning models that enable users to generate digital images based on natural language text prompts. The impressive and often surprising results leave many people puzzled: is this art, and if so, who created the art: the human or the AI? These are not just theoretical questions; they have practical ethical and legal implications, for example when raising authorship and copyright issues. This essay offers two conceptual points of entrance that may help to understand what is going on here. First it briefly discusses the question whether this is art and who or what is the artist based on aesthetics, philosophy of art, and thinking about creativity and computing. Then it asks the question regarding humantechnology relations. It shows that existing notions such as instrument, extension, and (quasi) other are insufficient to conceptualize the use of this technology, and proposes instead to understand what happens as processes and performances, in which artistic subjects, objects, and roles emerge. It is concluded that based on most standard criteria in aesthetics, AI image generation can in principle create art, and that the process can be seen as poietic performances involving humans and non-humans potentially leading to the emergence of new artistic (quasi)subjects and roles in the process.
Artificial Aesthetics: A Critical Guide to AI, Media and Design, 2022
What would be the equivalent of the Turing test for an AI system capable of creating new songs, games, music, visual art, design, architecture, films? This looks like a simple question with an easy answer. If a system can automatically create new works in each media or genre and we cannot tell the difference between those works and those created by humans, it passes the Turing test... If we think further, we quickly realize that this is more complex. To even begin to answer it, we may need to consider ideas from several fields such as philosophical aesthetics, experimental psychology of the arts, histories of the arts, media theory, and software studies. Discussions about a Turing test for artistic creativity have not used perspectives from the last two fields much, and yet in my view they are very important for thinking about AI and creativity questions. This chapters explores the challenges of defining a test for artistic AI in our era when human creators routinely rely on digital assets and creative software which already has been offering AI-type support for long time. In other worlds: what would it mean for “genuine artistic AI” to compete with contemporary artists who already implicitly use AI implemented in their standard tools (operating in Photoshop, Premiere, After Effects, Blender, Unreal and so on behind the scene)?
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.