Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts.
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.
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