Artificial Intelligence and Music Ecosystem

Author:   Martin Clancy
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367405779


Pages:   184
Publication Date:   22 September 2022
Format:   Paperback
Availability:   In Print   Availability explained
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Artificial Intelligence and Music Ecosystem


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Overview

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.

Full Product Details

Author:   Martin Clancy
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367405779


ISBN 10:   0367405776
Pages:   184
Publication Date:   22 September 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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

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Author Information

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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