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Full 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.
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
