Artificial Intelligence and Music Ecosystem
Shipping & Delivery
Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock
14-28 Working Days: On Backorder
Will Deliver When Available: On Pre-Order or Reprinting
We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!
Product details
- ISBN 9781032846262
- Weight: 660g
- Dimensions: 156 x 234mm
- Publication Date: 17 Dec 2025
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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.
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.
