AI for Musical Discovery

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Abstract
What role should generative AI technology play in music? Long before recent advances, similar questions have been pondered without definitive answers. We argue that the true potential of generative AI lies in cultivating musical discovery, expanding our individual and collective musical horizons. We outline a vision for systems that nurture human creativity, learning, and community. To contend with the richness of music in such contexts, we believe machines will need a kind of musical common sense comprising structural, emotional, and sociocultural factors. Such capabilities characterize human intuitive musicality, but go beyond what current techniques or datasets address. We discuss possible models and strategies for developing new discovery-focused musical tools, drawing on past and ongoing work in our research group ranging from the individual to the community scale. We present this article as an invitation to collectively explore the exciting frontier of AI for musical discovery.

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