Thesis Abstract

Abstract
Artificial Intelligence (AI) has revolutionized various industries, including music composition and production. This thesis explores the implications of AI on music creation, focusing on its impact on traditional practices and the future of the music industry. The study delves into the ways in which AI technologies are being utilized in music composition, production, and distribution, and the resulting effects on musicians, listeners, and the industry as a whole. Through an in-depth analysis of existing literature, case studies, and primary research, this thesis aims to provide a comprehensive understanding of the current landscape of AI in music and its implications for the future. Chapter One sets the stage for the study by introducing the topic and providing background information on the use of AI in music. The chapter also presents the problem statement, objectives, limitations, scope, significance, structure of the thesis, and key definitions to establish a strong foundation for the research. Chapter Two comprises a detailed literature review that examines existing research on AI in music composition and production. This chapter explores key themes such as machine learning algorithms, generative models, automated music composition tools, and AI-driven music recommendation systems. The review also considers the implications of AI on creativity, copyright, and the role of human musicians in the digital age. Chapter Three outlines the research methodology employed in this study, including the research design, data collection methods, sample selection, and data analysis techniques. The chapter also discusses ethical considerations and limitations that may impact the research findings. Chapter Four presents the findings of the study, drawing on both qualitative and quantitative data to analyze the impact of AI on music composition and production. This chapter explores the advantages and challenges of using AI in music creation, the evolving role of musicians in a technologically driven industry, and the implications for music distribution and consumption. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering recommendations for future research and industry practice. The chapter also reflects on the broader implications of AI on music composition and production, emphasizing the need for collaboration between human creativity and AI technologies to drive innovation in the music industry. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on music composition and production. By examining the current landscape and future prospects of AI in music, this study offers valuable insights for musicians, industry professionals, researchers, and policymakers seeking to navigate the evolving intersection of technology and creativity in the digital age.

Thesis Overview