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Artificial Intelligence and Music Ecosystem
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Table of Contents

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

About the Author

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.

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