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E-grāmata: Rise of Metacreativity: AI Aesthetics After Remix

(The Pennsylvania State University, USA)
  • Formāts: 280 pages
  • Izdošanas datums: 18-Nov-2022
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9781000785487
  • Formāts - EPUB+DRM
  • Cena: 43,82 €*
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  • Formāts: 280 pages
  • Izdošanas datums: 18-Nov-2022
  • Izdevniecība: Routledge
  • Valoda: eng
  • ISBN-13: 9781000785487

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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.

Recenzijas

[ A] must-read text for all those interested in the emerging relationship between AI and art [ ] placing it within a historical and theoretical framework rooted in our cultural, political, and economic past. [ ] Navass book is undoubtedly an important step forward in the AI debate, and the notion of metacreativity a valuable tool.

Francesco DIsa, Los Angeles Review of Books

List of Figures
xi
Acknowledgments xiii
Introduction 1(14)
Precedents
1(1)
Critical Context
2(2)
Historical Context
4(2)
Theoretical Context
6(1)
Organization of
Chapters
7(4)
Metacreativity
11(1)
Paradigms
12(3)
PART I Interstitial Paradigms
15(110)
1 Labor
19(20)
Labor and Specialization
21(6)
Labor and Automation
27(2)
Labor and Art
29(1)
Labor and Remix
30(2)
Labor and Artificial Intelligence
32(1)
Delegation of Creative Labor
33(6)
2 Modularity
39(12)
Modularity and History
40(2)
Modularity and Indexicality
42(1)
Modularity, Culture, and Nature
43(1)
Modularity, Art, and Design
44(1)
Modularity After Remix
45(2)
Modularity as Binder
47(4)
3 Memory
51(16)
External and Internal Memory
54(2)
Memory and Artificial Intelligence
56(2)
Memory and Remix
58(2)
Memory, Emotion, and Embodiment
60(2)
Metamemory
62(5)
4 Technology
67(16)
From Hardware to Software
69(1)
Soft Labor and Posthumanism
70(3)
Artificial Intelligence and Posthumanism
73(2)
(Disjembodied Technology After Soft Labor
75(1)
(Disjembodied AI Technology Remixed
76(3)
The Other
79(4)
5 Compression
83(12)
The Informational Layer
85(1)
Convenience
86(1)
Innovation
87(1)
Compression
88(2)
Art, Compression, and Artificial Intelligence
90(5)
6 Simulation
95(14)
Simulation and the Real
97(1)
Simulation After Simulacra and Simulation
98(3)
Simulation and Hypermedia
101(1)
Remediated Simulacra
102(2)
Simulation and Artificial Intelligence
104(1)
Metasimulacra
105(4)
7 Environs
109(16)
Domestication of Nature
111(3)
Emergence and Complexity
114(1)
Complex Networks
115(2)
Emergence, Complexity, Remix, and Artificial Intelligence
117(1)
Metareflections
118(7)
PART II Meta Paradigms
125(94)
8 Art
127(22)
Precedents in Modernism
129(4)
Precedents in Postmodernism
133(2)
Precedents in Conceptual Art
135(3)
Precedents in Digital Art
138(3)
Art and Metacreativity
141(8)
9 Music
149(17)
Precedents in DJ Culture
150(4)
Precedents in Music
154(3)
Artificial Intelligence and Music
157(3)
Artificial Intelligence and Selectivity
160(2)
Music and Remix After Artificial Intelligence
162(4)
10 Media
166(17)
Precedents in Media
167(2)
Aesthetics of Image, Sound, and Text in Media
169(5)
Compression and Media
174(1)
Intelligent Media
175(3)
Metarealities
178(5)
11 Culture
183(13)
Culture as a System
185(3)
Culture and Artificial Intelligence
188(1)
Culture, Remix, and Metacreativity
189(3)
After Culture
192(4)
12 History
196(23)
Emergence of History
199(3)
History and Compression
202(1)
History and Allegory
203(5)
History of Multiples
208(2)
Recurrence in Versions
210(4)
Interstitial and Meta Paradigms
214(5)
PART III Metacreativity
219(40)
13 Principles of Metacreativity
221(13)
Preliminaries
221(1)
The Four Layers of Production and History
222(1)
The Expansional Layer
222(2)
The Optimizational Layer
224(1)
The Modular Layer
224(1)
The Informational Layer
225(1)
Cultural Variables
226(1)
Convenience
227(1)
Innovation
227(1)
Compression
228(1)
The Loop of Appropriation and Selectivity
229(2)
The Rise of Metacreativity
231(3)
14 AI Aesthetics After Remix
234(14)
Aesthetics and Labor
235(3)
From the Historical Avant-Garde to the Meta-Avant-Garde
238(3)
Echo-Creativity and Mashup Principles
241(2)
Meme Aesthetics
243(2)
AI Aesthetics
245(3)
15 Conclusion: Tripartages
248(11)
Meta-Realities: A Short Story
248(2)
Writing as Composing: Shareable Creativity
250(2)
Tripartages
252(7)
Index 259
Eduardo Navas is Associate Research Professor of Art and Digital Arts & Media Design in the School of Visual Arts, and Research Faculty in the College of Arts and Architecture's Arts & Design Research Incubator (ADRI) at Pennsylvania State University, where he researches and teaches principles of cultural analytics and digital humanities. Navas is the author of Remix Theory: The Aesthetics of Sampling (2012), Art, Media Design, and Postproduction: Open Guidelines on Appropriation and Remix (2018), and Spate: A Navigational Theory of Networks (2016). He is co-editor of The Routledge Companion to Remix Studies (2014), Keywords in Remix Studies (2017), and The Routledge Handbook of Remix Studies and Digital Humanities (2021).