AI Art and its Impact on Artists (original) (raw)
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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.
Studying Artist Sentiments around AI-generated Artwork
arXiv (Cornell University), 2023
Fig. 1. Images generated using the prompt "Studio Ghibli style characters in the forest" in Stable Diffusion. Source: Lexica.art Art created using generated Artificial Intelligence (AI) has taken the world by storm and generated excitement for many digital creators and technologists. However, the reception and reaction from artists have been mixed. Concerns about plagiarizing their artworks and styles for datasets and uncertainty around the future of digital art sparked movements in artist communities shunning the use of AI for generating art and protecting artists' rights. Collaborating with these tools for novel creative use cases also sparked hope from some creators. Artists are an integral stakeholder in the rapidly evolving digital creativity industry and understanding their concerns and hopes inform responsible development and use of creativity support tools. In this work, we study artists' sentiments about AI-generated art. We interviewed 7 artists and analyzed public posts from artists on social media platforms Reddit, Twitter and Artstation. We report artists' main concerns and hopes around AI-generated artwork, informing a way forward for inclusive development of these tools.
Copyright lessons on Machine Learning: what impact on algorithmic art?
2020
JIPITEC 10 (2020) 3 - Nowadays, Artificial Intelligence (AI) is described as “the new electricity”. Current algorithmic innovation allowed the development of software which enables machines to learn and to achieve autonomous decision making, with limited or no human involvement, in a vast number of applications, such as speech recognition, machine translation and algorithmic creation of works (computer generated art), on the basis of a process widely known as Machine Learning (ML). Within the ML context, machines are repeatedly trained by means of specifically designed learning algorithms that use a corpus of examples in the form of data sets as training material. Very often and, especially in the context of algorithmic creativity, the training material is mainly composed by copyrighted works, such as texts, images, paintings, musical compositions, and others. Machine Learning workflow typically involves the realization of (multiple) reproductions of any protected work used as train...
The Use of Copyrighted Works by AI Systems: Art Works in the Data Mill
SSRN Electronic Journal, 2018
We shall first introduce some technical aspects involved in the use of AI in producing new intellectual works, distinguishing approaches based on knowledge representation and on machine learning. Then we shall provide an overview of some of the significant applications of AI to the production of intellectual work, distinguishing the extent to which they depend on pre-existing works, and the different ways in such works are used in the creative process. Finally, we shall discuss the legal aspects of AI-reuse of copyrighted works, focusing on the rights of the authors of such works relatively to the process and the outputs of AI.
International Journal of Advanced Research in Science, Communication and Technology, 2024
In recent years, the field of artificial intelligence has witnessed remarkable advancements in image generation, with Open AI at the forefront of this innovative wave. This abstract explores the development and implications of an Image Generator using Open AI technologies, emphasizing its potential to facilitate creative expression through AI-generated art. The foundation of this Image Generator is rooted in Open AI's GPT-3, a state-of-the-art deep learning model that has demonstrated remarkable capabilities in natural language understanding and generation. Leveraging GPT-3's prowess, the Image Generator harnesses the power of generative adversarial networks (GANs) to produce visually stunning images. This amalgamation of technologies allows artists and creators to transcend traditional creative boundaries by generating art that is both novel and visually captivating. One of the key features of this Image Generator is its ability to generate art based on textual prompts. Users can provide descriptive or conceptual inputs, and the AI model interprets these prompts to create images that align with the given descriptions. This process not only sparks creativity but also offers a unique medium for artists to convey abstract ideas and emotions visually. Moreover, the Image Generator incorporates neural style transfer, enabling users to merge artistic styles and concepts seamlessly. The implications of such a tool are profound. Beyond serving as a source of inspiration for artists, it democratizes the creative process, making it accessible to individuals with varying levels of artistic expertise. Additionally, it has potential applications in fields such as advertising, graphic design, and entertainment, where generating captivating visuals is paramount. Nevertheless, ethical considerations and challenges, such as issues of copyright, authenticity, and the potential for misuse, should be addressed as the technology evolves. Open AI's commitment to responsible AI development is crucial in navigating these complexities. In conclusion, the Image Generator using Open AI is a testament to the transformative power of AI in the realm of creative expression. It empowers artists and creators to explore new dimensions of artistry while presenting opportunities and challenges that require careful consideration. As this technology continues to evolve, its impact on the art world and beyond is likely to be profound, opening up new horizons for human creativity and innovation.
Artificial Intelligence Generated Arts: Ownership & Copyright
Artificial Intelligence Generated Arts: Ownership & Copyright, 2023
Creativity has always experienced transmutation of styles of production and outcomes embracing novel media ideas for better artworks. This transmutation is seen to have evolved from the traditional creatives style of ancient charcoal and dye works technically brush and acrylic or oil paint works, clay or bronze sculptures then to digital sketches and three dimensional sculptures. Technology, the key aesthetic of the twenty-first century, has further pushed creative works for future ease and fast generation of arts in multitude of styles, generally known as Artificial Intelligence art generators with the air of text prompt commands. The legal protection of these artistic works under the Nigerian Copyright Act appears however outside the motive of the Act. This writer objectively evaluates the requirements for copyright protection under the Nigerian Copyright Act and its applicability to A.I. generated arts juxtaposed with legal frameworks of other jurisdictions and related case laws.
The Copyrightability of Art Generated by Artificial Intelligence in Canada
SSRN Electronic Journal, 2023
Historically, Canadian copyright law has sought to strike a balance between the rights of a work’s creator and the rights of individuals building upon such work. As artificial intelligence (“AI”) technologies continue to rise in prominence, balancing copyright protections with users’ rights has become increasingly difficult. AI’s exponential rise requires Canadian law to account for these new complexities in copyright. The Canadian government has also acknowledged that the Copyright Act may be due for an update to ensure that it adequately addresses technological developments which have occurred since it was last amended. One area where Canadian copyright law must evolve concerns AI-generated works, which can be found in various forms, including text, music, search engines, and of particular interest to this paper, art. This paper proposes that the Copyright Act be amended to include a new section addressing AI technologies, which explicitly outlines the new possibilities for infringement presented by AI in relation to artwork.
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.
Medeniyet Sanat Dergisi, 2021
In arts, especially visual arts, humans have perfected their skills to create distinctive experiences by combining a multifaceted interplay between the substance and design of images. Innate mechanisms of this process have remained unknown so far, and no artificial system with similar capabilities exists yet. However, the increasing prevalence of artificial intelligence in arts has drastically changed what seems to be the underlying constants, such as artistic creativity and authorship of artworks. This phenomenon becomes even more commonplace in the post-truth era as facts become fiction in competing versions. Although art has not always been searching for truths, artificial intelligence powered by generative adversarial networks puts the entire concept of art in a much larger context. In such a context, this descriptive-qualitative study based on literature review, which aims to discuss the impacts of artificial intelligence on photography and painting in the post-truth era and the issues of creativity and authorship, first explains the concept of generative adversarial networks and then examines a sample of their uses in photography and painting with concrete examples. Later, the study discusses the effects of artificial intelligence driven by generative adversarial networks on the art market and analyzes the concept of creativity and the issue of authorship because of those impacts in the context of works of art. Finally, the notion of post-truth is explained, and what the advent of artificial intelligence is likely to mean for art in the future within the framework of post-truth is questioned. Results show that the lines between art's expressive and demonstrative functions are beginning to blur, while the border between fiction and reality is becoming increasingly blurred. AI powered by GANs recontextualizes the meaning of the truth in artistic endeavors as it happens whenever a novel medium or technology appears and is increasingly adopted by more people at various paces and rates.