Musicians Coding AI for Themselves blends cutting-edge academic research with the real-world experiences of musicians working at the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems.The chapters are written by emerging and innovative coder-musicians who present their own artistic practice and research, with a focus on creative, ethical, collaborative, and educational uses of AI. Interviews with leading musicians who have incorporated AI into their work traverse diverse topics, from behind-the-scenes details of how each artist uses AI in their music to the greater conceptual impact of AI on the arts, the future of music technology, and the creative process.This book will be of interest to practicing musicians who wish to synthesize the creative potential of AI in their music and understand its implications for the wider music community. It will also appeal to students of music composition, music studies, experimental music, music technology, and human-computer interaction.

Musicians Coding AI for Themselves blends cutting-edge academic research with the real-world experiences of musicians working at the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems.The chapters are written by emerging and innovative coder-musicians who present their own artistic practice and research, with a focus on creative, ethical, collaborative, and educational uses of AI. Interviews with leading musicians who have incorporated AI into their work traverse diverse topics, from behind-the-scenes details of how each artist uses AI in their music to the greater conceptual impact of AI on the arts, the future of music technology, and the creative process.This book will be of interest to practicing musicians who wish to synthesize the creative potential of AI in their music and understand its implications for the wider music community. It will also appeal to students of music composition, music studies, experimental music, music technology, and human-computer interaction.

Musicians Coding AI for Themselves blends cutting-edge academic research with the real-world experiences of musicians working at the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems.The chapters are written by emerging and innovative coder-musicians who present their own artistic practice and research, with a focus on creative, ethical, collaborative, and educational uses of AI. Interviews with leading musicians who have incorporated AI into their work traverse diverse topics, from behind-the-scenes details of how each artist uses AI in their music to the greater conceptual impact of AI on the arts, the future of music technology, and the creative process.This book will be of interest to practicing musicians who wish to synthesize the creative potential of AI in their music and understand its implications for the wider music community. It will also appeal to students of music composition, music studies, experimental music, music technology, and human-computer interaction.