Thesis Abstract

Abstract
The integration of artificial intelligence (AI) into music composition and production has revolutionized the music industry in recent years. This thesis explores the multifaceted impact of AI on music creation processes, examining its implications for musicians, music producers, and the overall music ecosystem. Through a comprehensive review of existing literature, this study delves into the various applications of AI in music composition and production, highlighting both the benefits and challenges associated with this technological advancement. Chapter One provides an introduction to the topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two conducts a thorough literature review, analyzing ten key studies that address the use of AI in music composition and production. The review covers topics such as AI algorithms for music generation, AI-driven music recommendation systems, and the impact of AI on creativity in music. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. This chapter also discusses the limitations of the research methodology and strategies used to mitigate potential biases. Chapter Four presents a detailed discussion of the findings derived from the research, examining the implications of AI on various aspects of music composition and production. The chapter explores how AI tools and technologies have influenced musical creativity, collaboration, production workflows, and audience engagement. It also addresses concerns related to copyright issues, artistic autonomy, and the potential displacement of human musicians by AI systems. In Chapter Five, the thesis concludes by summarizing the key findings, discussing the implications of the research for the music industry, and offering recommendations for future research and practice. The conclusions drawn from this study contribute to a deeper understanding of the transformative impact of AI on music composition and production, shedding light on the opportunities and challenges that this technological innovation presents to musicians, producers, and music consumers alike. Keywords Artificial intelligence, Music composition, Music production, Creativity, Technology, Music industry, Machine learning, Music recommendation systems.

Thesis Overview