AI in visually based creative industries: when the dust settles

Contemporary Visual Culture and Art, 2025

This study critically examines the evolving relationship between Artificial Intelligence (AI) and contemporary art, exploring how computational systems are reshaping concepts of creativity, authorship, and aesthetic production. Tracing key historical developments-from Harold Cohen's pioneering AARON program in the 1970s to contemporary practices employing deep learning and Generative Adversarial Networks (GANs)-the research provides a structured and contextualized overview of AI's integration into artistic processes. Through case studies including Google's DeepDream, works by the collective Obvious, and artists such as Mario Klingemann and Anna Ridler, the paper analyzes AI's role as both a tool and a co-creator. Drawing on interdisciplinary insights from art theory, philosophy, and cognitive scienceespecially the work of Margaret Boden-the study interrogates long-standing assumptions about originality, intention, and human imagination in the context of machine-generated art. Ethical concerns such as dataset bias and algorithmic opacity are examined alongside curatorial and institutional responses to AI art. This research argues that AI-generated art emerges not from autonomous systems alone, but through complex human-machine collaborations that challenge traditional artistic paradigms. Ultimately, the investigation contributes to a broader understanding of creativity in the digital age and offers a critical framework for navigating the cultural, philosophical, and technological implications of AI in art.

Navigating the Digital Age. An In-Depth Exploration into the Intersection of Modern Technologies and Societal Transformation, 2024

The integration of Generative AI into the art world represents a transformative force, democratizing creativity and redefining traditional artistic roles. This paper explores the profound impact of Generative AI on art, positioning it as a creative medium that transcends mere tools. AI Art Generators, exemplifying this paradigm shift, enable users to convert textual prompts into intricate paintings, challenging conventional definitions of creativity and authorship. The methodologies within AI art, including Style Transfer and Generative Adversarial Networks (GANs), pose challenges in distinguishing AI-generated art from human-created art due to a prevalent negative bias. As AI generators enter the business domain, generating magazine covers and recreating famous artworks, ethical debates underscore their transformative influence on the art world. The research question probes into the democratization of creativity, potential job displacement, and the emergence of novel artistic expressi...

IAEME PUBLICATION, 2022

Generative AI is a subfield of AI that is reshaping the creative industries through the use of neural networks to generate content in a wide variety of fields. Generative AI is revolutionising various industries, including healthcare, music, video games, and art and design, by opening up new possibilities for efficiency and innovation in previously established processes. Based on Gartner's research from 2022, it is anticipated that by 2025, 20% of business content would be generated by AI. While many in the creative industries are warming up to AI technologies as a means to boost their imaginations, others are worried that machines could one day supplant their human abilities. Artificial intelligence (AI) is quickly becoming the tool of choice for marketers looking to streamline the generation of articles, marketing materials, and scripts. Video game developers use AI to create immersive landscapes and dynamic characters, while the music business uses AI to create new tunes. In addition, there has been a dramatic increase in the use of AI in healthcare, which has led to more precise and efficient medical diagnosis and treatment programs. Exciting new opportunities for content production are ahead as generative AI develops further and has an ever-increasing influence on the creative sectors.

Vidyawarta: A Peer Reviewed International Journal, 2025

Artificial Intelligence (AI) has emerged as a transformative force in creative arts, rede fining the way artists, musicians, and writers produce and experience art. AI-driven tools, from generative adversarial networks (GANs) to natural language processing (NLP) models, are now capable of creating paintings, composing music, and even writing literature with unprecedented sophistication. This paper examines the profound impact AI has had on these domains, questioning traditional notions of creativity, authorship, and artistic value. In visual arts, AI powered programs such as DeepArt and DALL·E produce paintings and illustrations that challenge human artistry. AI-generated paintings, like those created by the Obvious collective, have even been auctioned for thousands of dollars, sparking debates on artistic authenticity (Anantrasirichai and Bull). In music, AI-based composers such as AIVA and OpenAI’s MuseNet generate compositions that blend classical and contemporary styles, raising questions about human intervention in creative processes (Boosa). Literature, too, is undergoing a transformation with models like GPT-4 producing poetry, fiction, and screenplays that blur the line between machine and human authorship Artificial Intelligence (AI) has emerged as a transformative force in creative arts, rede fining the way artists, musicians, and writers produce and experience art. AI-driven tools, from generative adversarial networks (GANs) to natural language processing (NLP) models, are now capable of creating paintings, composing music, and even writing literature with unprecedented sophistication. This paper examines the profound impact AI has had on these domains, questioning traditional notions of creativity, authorship, and artistic value. In visual arts, AIpowered programs such as DeepArt and DALL·E produce paintings and illustrations that challenge human artistry. AI-generated paintings, like those created by the Obvious collective, have even been auctioned for thousands of dollars, sparking debates on artistic authenticity (Anantrasirichai and Bull). In music, AI-based composers such as AIVA and OpenAI’s MuseNet generate compositions that blend classical and contemporary styles, raising questions about human intervention in creative processes (Boosa). Literature, too, is undergoing a transformation with models like GPT-4 producing poetry, fiction, and screenplays that blur the line between machine and human authorship

CACTUS

This study aims to assess people’s perceptions regarding AI-generated images compared to those made by humans. This study used quantitative research in the form of a survey to find out how much respondents prefer AI-generated images. The findings indicated that most respondents favoured artificial intelligence (AI)generated visuals. Age and time spent online were key determinants of this choice. These discoveries have important implications for organisations and people who produce and consume visual content in their jobs. It implies that as people become familiar to them and as technology advances, AI-generated images are likely to gain popularity in the future. It also emphasises how critical it is to be aware of audience preferences and adjust to the evolving state of technology and visual media. In conclusion, this study offers insightful information about the prospective effects of AI-generated images on the creative sectors and the larger society.

International Journal of Global Economic Light (JGEL) , 2025

The development of AI has become a disruptive and transformative force that alters all forms of creative expression, including visual art, music, literature, and performance. Artistic content generation through AI technology expands authorship constraints by enabling machines to produce art in various ways, enhancing existing works, and executing simulations. This paper presents a comprehensive assessment of AI implementation across various art fields before examining how AI impacts human creative capabilities and identifying the ethical and conceptual issues that arise from machine-generated artworks. This paper synthesises contemporary research from 2019 to 2025 on AI technology in creative applications. The creative field currently experiences major changes because machine-produced artwork becomes more sophisticated thanks to AI tools, including DALL-E, Stable Diffusion, GPT-4 and AI-generated content. AI technology introduces new artistic territory but raises debates on copyright rules, sparks authorship debates, affects employment conditions and disrupts human-machine professional interactions. The investigation highlights both the benefits and challenges that arise from artificial intelligence applications in creativity. With AI tools, humans can enhance their artistic quality by leveraging AI as a collaborative tool and venture into new artistic domains that surpass human capabilities. Prior regulatory action must be taken urgently to address significant ethical concerns, including copyright conflicts, data bias, and the erosion of artistic authenticity. The review emphasizes the importance of integrating knowledge from artistic disciplines with both legal frameworks and ethical AI regulations to strike a balance between technological progress and artistic quality.

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.

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.

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...

2024

AI has significantly advanced, impacting various fields, particularly the Creative and Cultural Industries (CCI), prompting a reevaluation of traditional approaches and professional roles. This paper critically examines the evolving role of AI in the cultural and creative industries (CCI) by analyzing its impact on both professionals and society, using architecture and music as exemplary cases. The study challenges the traditional "myth" of creativity, historically viewed as an exclusively human ability, now being reshaped by AI technologies. By adopting a transdisciplinary approach, the paper highlights the need for a broader understanding of how AI influences the cultural sector, emphasizing the importance of considering both the economic and socio-technical imaginaries in this transformation.