Description
Price: EUR52.62 - EUR15.15
(as of Jun 29, 2026 17:31:34 UTC – Details)
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.
ASIN : B0FV98ZQ6B
Publisher : Focal Press
Accessibility : Learn more
Publication date : December 17, 2025
Edition : 2nd
Language : English
File size : 3.7 MB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Print length : 265 pages
ISBN-13 : 978-1040436875
Page Flip : Enabled
Best Sellers Rank: #2,729,706 in Kindle Store (See Top 100 in Kindle Store) #249 in Digital Audio Editing #473 in Digital Audio Production #5,084 in AI & Semantics
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