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This article presents a five-year collaboration situated at the intersectionof Art practice and Scientific research in Human-Computer Interaction (HCI). Atthe core of our collaborative work is a hybrid, Art and Science methodologythat combines computational learning technology -- Machine Learning (ML) andArtificial Intelligence (AI) -- with interactive music performance andchoreography. This article first exposes our thoughts on combining art,science, movement and sound research. We then describe two of our artisticworks \textit{Corpus Nil} and \textit{Humane Methods} -- created five yearsapart from each other -- that crystallize our collaborative research process.We present the scientific and artistic motivations, framed through our researchinterests and cultural environment of the time. We conclude by reflecting onthe methodology we developed during the collaboration and on the conceptualshift of computational learning technologies, from ML to AI, and its impact onMusic performance.

Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry