Rise of Metacreativity

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A01=Eduardo Navas
Aesthetics
AI Algorithm
Artificial Intelligence
artificial intelligence in cultural production
Author_Eduardo Navas
authorship theory
Category=AFKV
Category=AGA
Category=JBCC
Category=JBCT
Category=PDR
Category=UYQ
Clip
computational creativity
Computer Science
creative algorithms
Cyberculture
Digital Humanities
digital postproduction
Dynamic Intensities
ENIAC
eq_art-fashion-photography
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eq_society-politics
Expansional Layer
Ghost In The Shell
Historical Avant Garde
Informational Layer
interdisciplinary media studies
Internet
Knowledge Acquisition
Machine Learning
Media Art Production
Meta Paradigms
Metalanguage
Ml Algorithm
Modular Layer
New Media
NFT
Optimizational Layers
Persona
Playback
Pragmatic Practices
Remix
Sunny
systematic art analysis
Upload
Visual Culture
Young Man

Product details

  • ISBN 9780367753047
  • Weight: 420g
  • Dimensions: 152 x 229mm
  • Publication Date: 18 Nov 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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).

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