Artificial Intelligence and Music Ecosystem
1st Edition
Published on 22. September 2022
Book
Hardback
184 pages
978-0-367-40578-6 (ISBN)
Description
Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts.
Featuring an array of voices, including interviews with Jacques Attali, Holly Herndon and Scott Cohen, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI.
Considering the perspectives of developers, students and artists, as well as the wider themes of law, ethics and philosophy, Artificial Intelligence and Music Ecosystem is an essential introduction for anyone interested in the impact of AI on music, including those studying and working in the creative arts.
Featuring an array of voices, including interviews with Jacques Attali, Holly Herndon and Scott Cohen, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI.
Considering the perspectives of developers, students and artists, as well as the wider themes of law, ethics and philosophy, Artificial Intelligence and Music Ecosystem is an essential introduction for anyone interested in the impact of AI on music, including those studying and working in the creative arts.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate, Professional, and Undergraduate
Product notice
sewn/stitched
Cloth over boards
Illustrations
8 s/w Abbildungen, 5 s/w Photographien bzw. Rasterbilder, 3 s/w Zeichnungen
3 Line drawings, black and white; 5 Halftones, black and white; 8 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 15 mm
Weight
467 gr
ISBN-13
978-0-367-40578-6 (9780367405786)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Martin Clancy
Artificial Intelligence and Music Ecosystem
Book
approx. 12/2025
2nd Edition
Focal Press
€207.80
Not yet published
Additional editions
Martin Clancy
Artificial Intelligence and Music Ecosystem
Book
09/2022
1st Edition
CRC Press
€55.00
Article exhausted; check for reprint
Person
Martin Clancy is a Research Fellow at Trinity College Dublin, Founder Chair for the IEEE Global AI Ethics Arts Committee & a Certified Ableton 11 Live Trainer.
Content
List of contributors
Acknowledgements
Introduction
Chapter 1 The Future - Interview with Jacques Attali
Chapter 2 AI music - On the Meaning of Music: Music is a language without a dictionary - David Cope
Chapter 3 The Developer - What do music software developers do? - Miller Puckette
Chapter 4 The Student - Shortcuts Guide To Music Theory - Artur Osipov
Chapter 5 The Artist - Interview with Holly Herndon
Chapter 6 Robotics - Fast and Curious: A CNN for Ethical Deep Learning Musical Generation - Richard Savery & Gil Weinberg
Chapter 7 Extended Reality - Music in Immersive XR Environments:The Possibilities (and Approaches) for (AI) - Gareth W. Young & Aljosa Smolic
Chapter 8 Data - A Quantified Quickening: Data, AI and the Consumption and Composition of Music - Jennifer Edmond
Chapter 9 Law- You Can Call Me Hal: AI & Music IP - Martin Clancy
Chapter 10 Ethics - Whose Ethics? Approaches to a Equitable and Sustainable Music Ecosystem - Martin Clancy
Chapter 11 Global Ethics - From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia - Rujing Stacy Huang, Andre Holzapfel & Bob L. T. Sturm
Chapter 12 Start-ups - AI: Why I Care - Mick Kiely
Chapter 13 Music Industry - Interview with Scott Cohen
Chapter 14 Philosophy - Amor Fati: A Theoretical Model of the Music Ecosystem - Martin Clancy
Index
Acknowledgements
Introduction
Chapter 1 The Future - Interview with Jacques Attali
Chapter 2 AI music - On the Meaning of Music: Music is a language without a dictionary - David Cope
Chapter 3 The Developer - What do music software developers do? - Miller Puckette
Chapter 4 The Student - Shortcuts Guide To Music Theory - Artur Osipov
Chapter 5 The Artist - Interview with Holly Herndon
Chapter 6 Robotics - Fast and Curious: A CNN for Ethical Deep Learning Musical Generation - Richard Savery & Gil Weinberg
Chapter 7 Extended Reality - Music in Immersive XR Environments:The Possibilities (and Approaches) for (AI) - Gareth W. Young & Aljosa Smolic
Chapter 8 Data - A Quantified Quickening: Data, AI and the Consumption and Composition of Music - Jennifer Edmond
Chapter 9 Law- You Can Call Me Hal: AI & Music IP - Martin Clancy
Chapter 10 Ethics - Whose Ethics? Approaches to a Equitable and Sustainable Music Ecosystem - Martin Clancy
Chapter 11 Global Ethics - From Philosophy to Practice A Culturally Informed Ethics of Music AI in Asia - Rujing Stacy Huang, Andre Holzapfel & Bob L. T. Sturm
Chapter 12 Start-ups - AI: Why I Care - Mick Kiely
Chapter 13 Music Industry - Interview with Scott Cohen
Chapter 14 Philosophy - Amor Fati: A Theoretical Model of the Music Ecosystem - Martin Clancy
Index