Music composition with AI

The fusion of AI and music making is changing how music is created, as machines can be programmed to create music on their own or with the help of the composer. This paper aims at outlining the history of algorithmic processes in composing music, with a focus on the current AI technologies such as machine learning and deep neural networks. New paradigms in deep learning like recurrent neural networks, generative adversarial networks, and reinforcement learning are explained in coordination with famous AI-generated music platforms like MuseNet by OpenAI, Magenta by Google, and Aiva. Uses include film music composition and game music production to individual music generation and music as medicine. However, because AI in music is still growing, the technology stuns some fundamental ethical questions ranging from creativity, authorship, and emotions. Finally, this paper evaluates the future of AI in music composition, which lies in helping humans enhance music creation beyond the limitations of music thinkers.