Artificial Intelligence and Music Ecosystem

2. Auflage 2025
ISBN: 978-1-032-84626-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 274 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Artificial Intelligence and Music Ecosystem examines the transformative relationship between artificial intelligence (AI) and the global music industry, considering both ethical and practical dimensions. This updated edition offers a comprehensive theoretical framework for understanding AI's role in creativity, production, and music consumption, as contributors revisit and reflect on their previous forecasts, discuss the evolution of the field, and make new predictions. These reflections elucidate advancements, transformations, and unforeseen challenges which have emerged since publication of the first edition.

Exploring how AI technologies redefine concepts of authorship, creativity, and intellectual property, this book integrates interdisciplinary perspectives and real-world case studies from philosophy, ethics, computer science, musicology, and intellectual property law, offering nuanced analyses enriched by case studies and expert insights from key contributors, including Jacques Attali, Holly Herndon, and Miller Puckette. By outlining actionable strategies and best practices, it supports readers in responsibly integrating AI into their workflows while maintaining ethical standards.

Artificial Intelligence and Music Ecosystem serves as a vital guide for artists, producers, academics, policymakers, and industry professionals navigating the evolving landscape of music and technology, and is a comprehensive resource for anyone interested in the broader implications of AI in the creative arts.

Zielgruppe

Postgraduate, Professional Practice & Development, Professional Reference, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Clancy, Martin

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik
• Naturwissenschaften Physik Mechanik Akustik, Schwingungsanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Digitale Musik

Inhaltsverzeichnis

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

Über Autor(innen)

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.