Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on music composition and production. The advent of AI technologies has revolutionized various industries, including music, by offering new tools and techniques to enhance creativity and productivity. The primary objective of this study is to explore how AI is changing the landscape of music creation and production processes. Through a comprehensive literature review, the research examines the current state of AI applications in music, identifies key challenges and opportunities, and analyzes the implications for musicians, producers, and the music industry as a whole. Chapter One provides an introduction to the research topic, outlining the background of the study, defining the problem statement, objectives, scope, limitations, significance, and structure of the thesis. The chapter also includes a definition of key terms related to AI and music composition. Chapter Two presents a detailed literature review, covering ten key areas related to AI in music composition and production. This section explores the history of AI in music, existing AI tools and platforms, case studies of AI-generated music, ethical considerations, and future trends in the field. Chapter Three focuses on the research methodology, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the selection of participants and the rationale behind the chosen research approach. Chapter Four presents the findings of the study, based on the analysis of data collected through interviews, surveys, and case studies. This section discusses the impact of AI on music composition and production, including the benefits, challenges, and potential risks associated with AI technologies in the music industry. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering recommendations for future research and practice. The conclusion highlights the transformative potential of AI in music composition and production, while also acknowledging the importance of human creativity and expertise in shaping the future of music. Overall, this thesis contributes to the growing body of knowledge on the intersection of AI and music, offering insights into how AI technologies are reshaping the creative process in the music industry. By understanding the impact of AI on music composition and production, musicians, producers, and industry professionals can harness the potential of these technologies to innovate and evolve in an increasingly digital and automated world.

Thesis Overview