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Artificial Intelligence and Music Ecosystem examines the transformative relationship between artificial intelligence (AI) and the global music industry, considering both ethical and practical dimensions, as contributors revisit and reflect on their previous forecasts, discuss the evolution of the field, and make new predictions.
Table des matières
1. Reflections 2.0 (2024): Interview with Jacques AttaliThe Future: Interview with Jacques Attali 2. Reflections 2.0 (2024): Reconsidering Cope: AI Music's Early Vision / AI Music: On the Meaning of Music: Music Is a Language with a Dictionary 3. Reflections 2.0 (2024): The Developer / The Developer: What Do Music Software Developers Do? 4. Reflections 2.0 (2024): The Student / The Student: Shortcuts Guide to Music Theory 5. Reflections 2.0 (2024): Interview with Holly Herndon: Here Comes Everybody / The Artist: Interview with Holly Herndon 6. Reflections 2.0 (2024): Robotics / Robotics: Fast and Curious: A CNN for Ethical Deep Learning Machine Music Generation 7. Reflections 2.0 (2024): Extended Reality / Extended Reality: Music In Immersive XR Environments: The Possibilities (and Approaches) for (AI) Music in Immersive Environments 8. Reflections 2.0 (2024): Preface: Quickening is not Generation / Data: A Quantified Quickening: Data, AI, and the Consumption and Composition of Music 9. Reflections 2.0 (2024): Law: Interview with David Hughes / Law: You Can Call Me Hal: AI and Music IP 10. Reflections 2.0 (2024): Ethics Interview with John C. Havens / Ethics: Whose Ethics? Approaches to an Equitable and Sustainable Music Ecosystem 11. Reflections 2.0 (2024): Global Ethics / Global Ethics: From Philosophy to Practice: A Culturally Informed Ethics of Music AI in Asia 12. Reflections 2.0 (2024): Start-Ups / Start-Ups: AI Why I Care 13. Reflections 2.0 (2024): The Future: Interview with Scott Cohen / The Future: Interview with Scott Cohen 14. Reflections 2.0 (2024): Can We Build Ethical Handrails into the Code? / Philosophy: Amor Fati: A Theoretical Model of the Music Ecosystem
A propos de l'auteur
Martin Clancy is Senior AI Research Fellow at Insight Centre for Data Analytics, Dublin, Policy Fellow at Trinity College's Long Room Hub, Founder Chair of IEEE Global AI Ethics Arts Committee, Certified Ableton Trainer, and a music professional with over 40 years' experience as a musician, producer, manager, and author.
