BOOK PROPOSAL

We invite original chapter proposals and applications for co-editors for an edited volume titled Guide to Generative AI in Music. This book will provide an accessible yet rigorous overview of theory, methods, tools, creative practice, ethics, pedagogy, industry impact, and future directions at the intersection of generative AI and music. It will target students, practitioners, educators, and musically curious technologists.

Key topics (examples — not limited to)

• An introduction to generative models for music (probabilistic, deep learning, symbolic)
• Representations and data formats (MIDI, audio, event-based, score encoding)
• Model architectures and training strategies (transformers, diffusion, VAEs, RNNs)
• Audio synthesis and neural vocoders
• Controllable generation, conditioning, and style transfer
• Human-AI co-creation workflows and interfaces
• Creative practice case studies (composers, producers, performers)
• Evaluation metrics and perceptual evaluation methods
• Ethical, legal, and cultural implications (authorship, copyright, bias)
• Production-ready systems and deployment (real-time, cloud, mobile)
• Music information retrieval combined with generative approaches
• Pedagogy: teaching generative AI in composition and music tech curricula
• Accessibility, inclusion, and community-driven datasets
• Future directions: multimodal models, adaptive systems, live performance

Who should contribute

• Academic researchers (music technology, ML, generative AI, musicology etc.)
• Composers, producers, and performing artists working with generative AI
• Industry practitioners building music AI products
• Educators designing curricula in music and AI
• Ethicists, lawyers, and cultural scholars addressing AI’s impact on music

Submission types

• Full chapters (theoretical, empirical, methods, or practice-led)
• Short practice case studies (3–6 pages) describing workflows, creative outcomes, and reflections

Editor roles open We are seeking co-editors to shape the volume, including:

• Co-editors (e.g., subject experts in various areas including technical aspects of music, creative practice, AI, generative AI, ethics/policy). Editorial decisions, organising peer review, contributing to an introduction or chapter, and ensuring cohesion across sections.

Submission process and timeline

• EDITORS: Expression of interest for to edit (Orcid number + short statement of editorial vision): by April 10, 2026
• AUTHORS: Chapter proposal (title + 300–500 word abstract + 3–5 keywords + orcid number and short bios): by April 24, 2026
• Notification of acceptance of proposals: May 22, 2026
• Full chapter submissions (5,000–8,000 words for full chapters; 1,500–3,000 words for short case studies): July 20, 2026
• Peer review and revisions: Aug–Oct 2026
• Final manuscript due: November 15, 2026
• Publication: mid–2027 (TBC: We are currently in talks with Routledge having gone through two stages of review for this proposal. We are proposing a royalty split for authors)

Formatting and submission guidelines

• Abstracts and editor applications: PDF or DOCX, single-spaced, 12-pt font
• Full chapters: include an abstract (150–250 words), 1–2 figures/tables as needed, references in APA 7, and any supplementary reproducible code or data links
• Authors retain copyright; publisher-friendly open-access options will be discussed
• Submissions and editor applications: email to enquiries [at] c4rmmt.org.uk with subject line “Generative AI in Music — Proposal” (or “— Editor Application”)

Contact and inquiries For questions about scope, fit, or the editorial process, contact the editorial team at enquiries [at] c4rmmt.org.uk

Short checklist for proposers

• 300–500 word proposal abstract
• 3–5 keywords
• Author names, affiliations, orcid number, and 2–3 sentence bios
• Indicate whether the submission is a full chapter or short case study
• Confirm willingness to meet timeline
• Confirmation that no writing will be undertaken using AI.

Thank you for your interest.