Abstract | For this presentation, I explore relationships between artificial intelligence (AI) and music production. Starting with composer David Cope, I establish potential creative outcomes in the context of AI-assisted composition. I broaden this discussion and outline implications using large language models (LLMs) and generative AI in music, contrasting differences between Cope’s supervised, intensive approach with the unsupervised, data-intensive nature of LLMs in current circulation. This leads to a critique of the assumption that AI inherently enhances creativity and that it will unilaterally make individual music producers more creative, efficient, and productive. |
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