This chapter examines the revolutionary role of generative AI in reshaping performative art. This final chapter, rather than summarizing the book’s contents, returns to the foundational question of art categorization, challenging rigid classifications and emphasizing their limitations, especially during global crises. Generative AI, presented as a transformative force, disrupts traditional artistic frameworks, facilitating new blends of creativity and collective approaches to art. Generative AI’s capabilities extend beyond mere automation to collaborative artistry, blending algorithmic computation with human creativity. By using generative adversarial networks (GANs) and variational autoencoders (VAEs), AI systems generate novel content across media, challenging notions of singular authorship and expanding the collective nature of creation. This technology redefines art spaces, as seen in digital and virtual installations where AI’s role extends to real-time, audience-responsive art, introducing the concept of art as a live, interactive process rather than a static object. The chapter’s conclusion incorporates case studies demonstrating this integrated approach, illustrating how generative AI supports both democratization and professional artistry. It proposes guidelines for designing performative spaces with AI, emphasizing interdisciplinary collaboration, adaptive design, and ecological awareness. The chapter also explores exaptation—the process of repurposing existing structures for new functions—to guide a new taxonomy of creativity in AI-integrated art. By advocating for AI’s role as an augmentation of human ingenuity, this chapter foresees a future where generative AI transforms performative arts, fostering a synergy between human and machine creativity that advances both artistic and societal progress.

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Generative AI and the Collective Canvas: Redefining Artistic Authorship and Performance

  • Alessandro Melis,
  • Marco Pelle

摘要

This chapter examines the revolutionary role of generative AI in reshaping performative art. This final chapter, rather than summarizing the book’s contents, returns to the foundational question of art categorization, challenging rigid classifications and emphasizing their limitations, especially during global crises. Generative AI, presented as a transformative force, disrupts traditional artistic frameworks, facilitating new blends of creativity and collective approaches to art. Generative AI’s capabilities extend beyond mere automation to collaborative artistry, blending algorithmic computation with human creativity. By using generative adversarial networks (GANs) and variational autoencoders (VAEs), AI systems generate novel content across media, challenging notions of singular authorship and expanding the collective nature of creation. This technology redefines art spaces, as seen in digital and virtual installations where AI’s role extends to real-time, audience-responsive art, introducing the concept of art as a live, interactive process rather than a static object. The chapter’s conclusion incorporates case studies demonstrating this integrated approach, illustrating how generative AI supports both democratization and professional artistry. It proposes guidelines for designing performative spaces with AI, emphasizing interdisciplinary collaboration, adaptive design, and ecological awareness. The chapter also explores exaptation—the process of repurposing existing structures for new functions—to guide a new taxonomy of creativity in AI-integrated art. By advocating for AI’s role as an augmentation of human ingenuity, this chapter foresees a future where generative AI transforms performative arts, fostering a synergy between human and machine creativity that advances both artistic and societal progress.