The Rise of Metacreativity : AI Aesthetics After Remix

"This book brings together history and theory in art and media to examine the effects of artificial intelligence and machine learning in culture, and reflects on the implications of delegating parts of the creative process to AI. In order to understand the complexity of authorship and originality in relation to creativity in contemporary times, Navas combines historical and theoretical premises from different areas of research in the arts, humanities, and social sciences to provide a rich historical and theoretical context that critically reflects on and questions the implications of artificial intelligence and machine learning as an integral part of creative production. As part of this, the book considers how much of postproduction and remix aesthetics in art and media preceded the current rise of metacreativity in relation to artificial intelligence and machine learning, and explores contemporary questions on aesthetics. The book also provides a thorough evaluation of the creative application of systematic approaches to art and media production, and how this in effect percolates across disciplines including art, design, communication, as well as other fields in the humanities and social sciences. An essential read for students and scholars interested in understanding the increasing role of AI and machine learning in contemporary art and media, and their wider role in creative production across culture and society."-- Site de l'éditeur This book brings together history and theory in art and media to examine the effects of artificial intelligence and machine learning in culture, and reflects on the implications of delegating parts of the creative process to AI. Cover 1 Half Title 2 Title Page 4 Copyright Page 5 Table of Contents 6 List of Figures 12 Acknowledgments 14 Introduction 18 Precedents 18 Critical Context 19 Historical Context 21 Theoretical Context 23 Organization of Chapters 24 Metacreativity 28 Paradigms 29 PART I: Interstitial Paradigms 32 1 Labor 36 Labor and Specialization 38 Labor and Automation 44 Labor and Art 46 Labor and Remix 47 Labor and Artificial Intelligence 49 Delegation of Creative Labor 50 2 Modularity 56 Modularity and History 57 Modularity and Indexicality 59 Modularity, Culture, and Nature 60 Modularity, Art, and Design 61 Modularity After Remix 62 Modularity as Binder 64 3 Memory 68 External and Internal Memory 71 Memory and Artificial Intelligence 73 Memory and Remix 75 Memory, Emotion, and Embodiment 77 Metamemory 79 4 Technology 84 From Hardware to Software 86 Soft Labor and Posthumanism 87 Artificial Intelligence and Posthumanism 90 (Dis)embodied Technology After Soft Labor 92 (Dis)embodied AI Technology Remixed 93 The Other 96 5 Compression 100 The Informational Layer 102 Convenience 103 Innovation 104 Compression 105 Art, Compression, and Artificial Intelligence 107 6 Simulation 112 Simulation and the Real 114 Simulation After Simulacra and Simulation 115 Simulation and Hypermedia 118 Remediated Simulacra 119 Simulation and Artificial Intelligence 121 Metasimulacra 122 7 Environs 126 Domestication of Nature 128 Emergence and Complexity 131 Complex Networks 132 Emergence, Complexity, Remix, and Artificial Intelligence 134 Metareflections 135 PART II: Meta Paradigms 142 8 Art 144 Precedents in Modernism 146 Precedents in Postmodernism 150 Precedents in Conceptual Art 152 Precedents in Digital Art 155 Art and Metacreativity 158 9 Music 166 Precedents in DJ Culture 167 Precedents in Music 171 Artificial Intelligence and Music 174 Artificial Intelligence and Selectivity 177 Music and Remix After Artificial Intelligence 179 10 Media 183 Precedents in Media 184 Aesthetics of Image, Sound, and Text in Media 186 Compression and Media 191 Intelligent Media 192 Metarealities 195 11 Culture 200 Culture as a System 202 Culture and Artificial Intelligence 205 Culture, Remix, and Metacreativity 206 After Culture 209 12 History 213 Emergence of History 216 History and Compression 219 History and Allegory 220 History of Multiples 225 Recurrence in Versions 227 Interstitial and Meta Paradigms 231 PART III: Metacreativity 236 13 Principles of Metacreativity 238 Preliminaries 238 The Four Layers of Production and History 239 The Expansional Layer 239 The Optimizational Layer 241 The Modular Layer 241 The Informational Layer 242 Cultural Variables 243 Convenience 244 Innovation 244 Compression 245 The Loop of Appropriation and Selectivity 246 The Rise of Metacreativity 248 14 AI Aesthetics After Remix 251 Aesthetics and Labor 252 From the Historical Avant-Garde to the Meta-Avant-Garde 255 Echo-Creativity and Mashup Principles 258 Meme Aesthetics 260 AI Aesthetics 262 15 Conclusion: Tripartages 265 Meta-Realities: A Short Story 265 Writing as Composing: Shareable Creativity 267 Tripartages 269 Index 276 New,Media;,Visual,Culture;,Artificial,Intelligence;,Machine,Learning;,Aesthetics;,Remix;,Digital,Humanities;,Cyberculture;,Media,Art,Production;,Internet;,Computer,Science New Media,Visual Culture,Artificial Intelligence,Machine Learning,Aesthetics,Remix,Digital Humanities,Cyberculture,Media Art Production,Internet,Computer Science "This book brings together history and theory in art, media, and culture to examine the effects of artificial intelligence and machine learning in creative culture today, and reflects on the implications of delegating parts of the creative process to AI. In order to understand the complexity of authorship and originality in relation to creativity in contemporary times, Navas combines historical and theoretical premises from different areas of research in the arts, humanities, and social sciences to provide a rich historical and theoretical context that critically reflects on and questions the implications of artificial intelligence and machine learning as an integral part of creative production. As part of this, the book considers how much of postproduction and remix aesthetics in art and media preceded the current rise of metacreativity in relation to artificial intelligence and machine learning, and explores contemporary questions on aesthetics. The book also provides a thorough evaluation of the creative application of systematic approaches to art and media production, and how this in effect percolates across disciplines including art, design, communication, as well as other fields in the humanities and social sciences. An essential read for students and scholars interested in understanding the increasing role of AI and machine learning in contemporary art and media, and their wider role in creative production across culture and society"-- Provided by publisher