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The recent emergence of generative AI, particularly prompt-based models, and its embedding in many social domains and practices has revived the notion of co-creation and distributed agency already familiar in art practice and theory. Drawing on Actor-Network Theory (ANT) and its central notion of agency, this article explores the extent to which the collaboration between the artist and AI represents a new form of co-creation and distributed agency. It compares AI art with artistic movements such as Dada, Surrealism, Minimalism and Conceptual Art, which also challenged the notion of the autonomous artist and her agency by incorporating randomness on the one hand and rule-based systems on the other. In contrast, artistic practice with AI can be described as an iterative process of creative feedback loops, oscillating between order and disorder, (calculated) randomness and calculation, enabling a very specific kind of self-reflection and entanglement with the alienation of one's own perspective. Furthermore, this article argues that most artistic projects that explore and work with AI are, in their own specific way, a demonstration of hybridity and entanglement, as well as the distribution of agency between the human and the non-human, and can thus be described as a network phenomenon. [ABSTRACT FROM AUTHOR]

This paper presents a study analyzing the perception of artistic products created by or with the support of artificial intelligence (AI). The research builds on previous studies revealing that the output of artificial creativity processes can indeed rival human‐made products, satisfy consumer expectations, and derive enjoyment. However, in contrast to earlier works, the study focuses on the awareness of how AI is used during production processes (full automation, human‐AI co‐creation, and solely human) and product types (levels of involvement and product tangibility). A laboratory experiment was conducted to compare the value and creativity perceptions of 199 participants. Results revealed that, overall, the use of AI enhanced perceptions of process novelty. Additionally, the use of AI led to more positive evaluations of intangible and high involvement products such as songs compared to tangible and high involvement products such as paintings. This shows a decrease in perceived quality as more AI is involved in the production process. Furthermore, the level of product involvement level indicated no causal relationship to the degree of AI used in the production process. [ABSTRACT FROM AUTHOR]