As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
This book discusses the transformation of creative practice brought about by various forms of AI.
Recenzijos
Besprochen in:
www.auditive-medienkulturen.de, 22.05.2024, Julian Müller
Frontmatter 1
Contents 7
Artificial Intelligence - Intelligent Art? An Introduction 9
AI, Automation, Creativity, Cognitive Labor 35
Dumb Meaning: Machine Learning and Artificial Semantics 45
Artist-Guided Neural Networks - Automated Creativity or Tools for Extending Minds? 59
Embodied Voice and AI: a Techno-Social System in Miniature 79
Sound of Contagion - An Artistic Research Project Exploring A.I. as a Creative Tool for Transmedial Storytelling 97
Challenges and Opportunities for Computational Construction of Narratives 111
The Marcel Duchamp Case in, against, or after Artificial Creativity 125
Creativity and Function 139
Contemplating Automaton Consciousness through Creativity in Rokuro Inui's Automatic Eve 151
Where Machine and Muse Meet - Towards a Creativity of AI Art 163
Material Films in the Age of Artificial Intelligence. Some Remarks on Automated Creativity in Contemporary Experimental Film 177
Dear GPT-3: Collaborative Writing with Neural Networks 189
AFFIRMATIVE - REJECT. With and Against AI 203
Artificial Intelligence in Songwriting and Composing - Perspectives and Challenges in Creative Practices 217
On Human-Machine Relationship and the Notion of an Artificial Intelligence in Musical Practice 233
The Upcoming Change in Human Musical Thinking. What Does a Music Professional do in the Age of AI? 245
The Roughness of Neural Networks. Jimi Hendrix, Holly Herndon, GPT-3, Timbre Transfer and the Promising Failure Aesthetics of Musical AIs 255
Digital Aesthetics: A Symbolism of the Body and a More-than-Human Mode of Enquiry 269
About the Authors 283
Dietmar Elflein (Dr.) lehrt populäre Musik und Systematische Musikwissenschaft an der Technischen Universität Braunschweig. Bei transcript bisher erschienen: »Schwermetallanalysen. Die musikalische Sprache des Heavy Metal« (2010).
Christoph Seelinger ist Wissenschaftlicher Mitarbeiter am Institut für Germanistik.
