國立虎尾科技大學 |

The rise of metacreativity = AI aesthetics after remix /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The rise of metacreativity/ Eduardo Navas.
Reminder of title:	AI aesthetics after remix /
Author:	Navas, Eduardo.
Published:	New York :Routledge, : 2023.,
Description:	1 online resource (xv, 264 p.) :ill. :
Subject:	Creative ability. -
Online resource:	https://www.taylorfrancis.com/books/9781003164401
ISBN:	9781003164401

The rise of metacreativity = AI aesthetics after remix /
Navas, Eduardo.

The rise of metacreativityAI aesthetics after remix /[electronic resource] :Eduardo Navas. - New York :Routledge,2023. - 1 online resource (xv, 264 p.) :ill.

Includes bibliographical references and index.

Metacreativity. Paradigms --

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.

ISBN: 9781003164401Subjects--Topical Terms:

561442
Creative ability.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: BF408 / .N37 2023eb

Dewey Class. No.: 153.3/5

The rise of metacreativity = AI aesthetics after remix /
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505 0 0 $t Metacreativity. Paradigms -- $t Interstitial paradigms. Labor -- $t Modularity -- $t Memory -- $t Technology -- $t Compression -- $t Simulation -- $t Environs -- $t Meta paradigms. Art -- $t Music -- $t Media -- $t Culture -- $t History -- $t Metacreativity.Principles of metacreativity -- $t AI aesthetics after remix -- $t Conclusion : Tripartages.
520 $a 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.
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