Artificial Intelligence and Music Ecosystem

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