Generative Ai as Creative Collaborators in Visual Art and Film

The current accelerated development of generative artificial intelligence (GenAI) has radically reformed the practices of creativity in visual art and film, questioning the author and originality and creative agency. In the current paper, I will analyze the position of generative AI as a creative partner in the context of posthumanism, a theoretical framework that separates creativity out of the purely human-centered frameworks. The paper discusses the ways AI-controlled systems, generative models, like GANs, diffusion models, and transformer-based designs, can support artistic creation by allowing new types of expression, enhancing the efficiency of their creation, and supporting the creative process through repetition. The paper employs a qualitative and conceptual approach of research and examines the available literature and case studies, as well as real-life examples of the use of AI-assisted art and filmmaking. A posthumanist theoretical paradigm is created to comprehend creativity as a process that is distributed and relational created as a result of an interaction between human intuition and machine intelligence. The paper also suggests a model of human-AI creative collaboration, the key points of which are shared agency, co-creation, and the generation of hybrids. The findings indicated that human creativity is required to guarantee the contextual knowledge, emotional richness, and critical thinking but AI is significant in matters of innovativeness, magnitude, and exploration. The comparative analysis is utilized to demonstrate that the human-AI collaboration has better performance in various areas related to creativity, particularly, the domains of innovation and efficiency. The implementation of AI, in its turn, brings up the required aspects of challenging issues, including the problem of ethics concerning the authorship, intellectual property, biased data and potential homogenization of artworks. Concluding the paper, it is stated that generative AI should not be viewed as a danger to human creators rather as a creative collaborator that transforms the creative ecosystem. It illuminates the need to have cross-functional models, codes of ethics, and policy solutions that would ensure the responsible and sustainable use of AI in the creative sector

Computational Creativity · Creativity · Creativity technique · Generative grammar · Intuition · Originality · Aesthetic Perception and Analysis · Art, Technology, and Culture · Innovation, Sustainability, Human-Machine Systems

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