Join us for an interdisciplinary exploration of the profound changes AI is bringing to the creative sector. This panel will delve into the complex relationship between artificial and human creativity, examining both the challenges and potential benefits. We will focus on:

Protecting Creative Value: Establishing interdisciplinary frameworks to assess and defend the inherent value of human creativity, influencing future legal and policy frameworks.

Optimizing AI Integration: Analyzing the added value of AI from diverse perspectives (marketing, management, law) to ensure the sustainable evolution of the creative workforce.

Promoting Responsible Adoption: Investigating innovative approaches to AI implementation, addressing societal concerns and fostering acceptance among creative professionals.

This panel aims to contribute to a critical dialogue on ensuring equitable opportunities and curbing the potential for corporate dominance in the creative economy.

Generative media extends beyond the realm of technology, revealing a system of beliefs centered on translation, equivalence, and modularization. Our research into generative artistic practices explores how these beliefs influence cultural, industrial, and economic spheres. Through a series of examples and own creations, we examine how the translation of artistic intuition into algorithmic instructions informs generative artwork, provoking new forms of authorship and collaboration. Simultaneously, we interrogate whether the notion of equivalence (a foundation of computation) can capture the nuance and context inherent in artistic creation. In this talk we thus explore the artistic and technical dimensions of working with generative media. Through this lens, we will consider the possibilities and limitations that arise when creativity is “formalized enough to be automated".

Generative artificial intelligence (AI) is a type of AI capable of autonomously producing new information, including text, images, audio, and video (Lyu, 2023). Recent research has explored the intersection of AI and creativity, challenging traditional perceptions of AI’s limitations in generating new ideas and creating art (Crimaldi & Leonelli, 2023). Integrating AI into the creative writing process is thus not simply a matter of technological advancement, but rather a social innovation whose impact on cultural production and inclusivity cannot be understated. With AI-based tools becoming more sophisticated by the day, traditional notions of authorship are being challenged, and the way people – especially novice writers – approach storytelling is being reshaped. By analysing human-AI interactions in the context of creative writing, this paper examines ways these tools can boost emerging writers' confidence and create new forms of storytelling.

Aside from the empowerment of the individual, the increasing use of AI in creative works raises a number of critical questions regarding authorship (She & Cetinic, 2022), intellectual property, and the evolving relationship between human agency and machine-generated content. At the same time, there is a need for reflection on how societies define originality and the role of technology in shaping forms of expression.

This paper sets out to consider generative AI not as a destructive force, but as a catalyst for rethinking creative acts within a rapidly evolving digital landscape, exploring how AI democratises creative expression and contributing to broader conversations about innovation and the interaction between technology and human expression.

The widespread use of artificial intelligence has profoundly disrupted creativity and reshaped concepts of authorship. With the rise of generative AI tools, distinguishing between human-created and algorithm-generated works has become increasingly challenging. Today, the issues surrounding AI-generated content extend beyond legal and copyright concerns to the very epistemology of creativity itself. Who should be considered the author of an AI-generated piece — the individual who provided the initial prompt or the developers of the software used to generate it? Perhaps both? Can we evaluate the quality of AI-generated art using the same criteria as human-made art? These fundamental questions remain unanswered so far.

This paper explores various theoretical perspectives on creativity and authorship in the era of artificial intelligence. It traces the evolution of the author's role back to the emergence of postmodernist thought that challenged traditional notions of authorship (R. Barthes;1967, G. Deleuze, 1987). We argue that contemporary artworks often exhibit shared authorship, influenced by trends like transmedia storytelling and multimedia installations where audience participation is integral to the creative process. The integration of artificial intelligence represents another evolution, where artworks are co-authored, no longer solely attributable to one individual. Unlike other digital art forms, AI introduces a machine co-author, capable of creating original pieces