Artificial Intelligence and Music Ecosystem
Editat de Martin Clancyen Limba Engleză Hardback – 17 dec 2025
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Specificații
ISBN-13: 9781032846262
ISBN-10: 1032846267
Pagini: 268
Dimensiuni: 161 x 240 x 19 mm
Greutate: 0.57 kg
Ediția:2. Auflage
Editura: Focal Press
ISBN-10: 1032846267
Pagini: 268
Dimensiuni: 161 x 240 x 19 mm
Greutate: 0.57 kg
Ediția:2. Auflage
Editura: Focal Press
Cuprins
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
Notă biografică
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.