This paper explores the multifaceted role of Artificial Intelligence in the field of music, more specifically, examining the positives and negatives of generative and assistive capacities. Artificial Intelligence (AI) in music involves the application of computational techniques to various aspects of music creation, production and consumption. In the domain of assistive AI, the concentration is on how machine learning could potentially help musicians in the area of composition and performance to enhance their musical creativity. The paper will discuss an interesting collaborative effort between pure human creativity and computational assistance covering an explanation for a vast number of tools using generative as well as assistive artificial intelligence models. In addition, the paper will address the concerns facing the music industry while this technology keeps on improving, the potential drawbacks and ethical considerations. It opens the question of authenticity and emotional depth, and when or if this new technology could be able to replicate it. Further explanation in the paper will consider music examples with a focus on music styles assisted and generated by the use of artificial intelligence, from pop to classical music. With a thorough analysis of the aforementioned subject, the paper aims to provide a detailed perspective on the constant evolution of AI tools used in music with highlights on the need for a balanced approach. In providing a detailed perspective on the evolving landscape of AI tools in music, this study adopts a methodological approach that involves comprehensive analysis of both the benefits and challenges associated with these innovative gadgets. The paper contributes to the ongoing discussion on the intersection of technology and artistic expression. By examining the potential benefits and challenges with these innovative models, the paper signifies ongoing discourse on the impact of technology on artistic expression.
Read full abstract