Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in the domain of music composition and production represents a transformative shift in the creative processes and capabilities within the music industry. This research explores the impact of AI on music composition and production, investigating the implications of AI algorithms, machine learning, and neural networks on the creation, distribution, and consumption of music. The study delves into the benefits and challenges presented by AI in revolutionizing traditional music-making processes and shaping the future landscape of the music industry. The primary objective of this research is to examine the evolving role of AI in music composition and production, assessing how these technologies are reshaping creative workflows, enhancing collaboration between human musicians and AI systems, and influencing the overall quality and diversity of music outputs. Through a comprehensive literature review, the study analyzes existing research, case studies, and industry reports to provide a detailed overview of the current state of AI in music composition and production. The research methodology encompasses a mixed-methods approach, combining qualitative and quantitative analyses to investigate the impact of AI on various aspects of music creation and production. Data collection methods include interviews with industry experts, surveys of musicians and producers, and analysis of AI-generated music compositions. The study also explores ethical considerations surrounding the use of AI in music, addressing issues related to copyright, ownership, and artistic integrity. The findings of this research reveal the significant advancements and opportunities offered by AI in music composition and production, highlighting the potential for increased efficiency, creativity, and accessibility within the industry. However, the study also identifies challenges such as algorithmic bias, data privacy concerns, and the potential displacement of human creativity by AI systems. In conclusion, this thesis provides a comprehensive analysis of the impact of artificial intelligence on music composition and production, offering insights into the opportunities, challenges, and ethical considerations associated with the integration of AI technologies in the music industry. The study contributes to the growing body of research on AI and music, providing valuable recommendations for musicians, producers, and industry stakeholders seeking to leverage AI tools and techniques in their creative endeavors. Ultimately, this research aims to stimulate further discussions and exploration of the evolving relationship between AI and music, shaping the future of music composition and production in the digital age.

Thesis Overview