Thesis Abstract

Abstract
The intersection of artificial intelligence (AI) and music composition has sparked significant interest and debate in recent years. This thesis delves into the impact of AI on music composition, exploring how technological advancements are reshaping the creative landscape of music production. The study investigates the potential benefits and challenges associated with the integration of AI in music composition, aiming to provide a comprehensive analysis of this evolving field. Chapter 1 provides an introduction to the research topic, outlining the background of the study and setting the context for the investigation. The problem statement elucidates the gaps in existing literature, while the objectives of the study establish the research goals. The chapter also discusses the limitations and scope of the research, highlighting the significance of the study in advancing understanding of AI in music composition. Chapter 2 presents a detailed literature review encompassing ten key aspects related to AI and music composition. This comprehensive review synthesizes existing research, theoretical frameworks, and empirical studies to provide a foundational understanding of the subject matter. Chapter 3 elucidates the research methodology employed in this study, encompassing eight key components such as research design, data collection methods, and data analysis techniques. The chapter explains the rationale behind the chosen methodology and discusses its relevance in addressing the research questions. Chapter 4 delves into the discussion of findings, presenting an in-depth analysis of the data collected during the research process. This chapter explores the implications of the findings, evaluates their significance in the context of AI and music composition, and discusses the potential impact on the creative process. Chapter 5 serves as the conclusion and summary of the thesis, consolidating the key findings, implications, and recommendations derived from the study. This final chapter underscores the contributions of the research, reflects on the overarching themes, and outlines potential avenues for future research in the field of AI and music composition. Overall, this thesis provides a nuanced exploration of the impact of artificial intelligence on music composition, shedding light on the transformative potential of technological innovation in the realm of creative expression. By examining the complexities and opportunities inherent in AI-driven music composition, this study contributes to a deeper understanding of the evolving dynamics between technology and artistry in contemporary music production.

Thesis Overview