Fr. 69.00

Artificial Intelligence and Music Ecosystem

Englisch · Taschenbuch

Versand in der Regel in 4 bis 7 Arbeitstagen

Beschreibung

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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.

Inhaltsverzeichnis

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

Über den Autor / die Autorin

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.

Zusammenfassung

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

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