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AI, neural networks and style appropriation | University of Oxford

Borrowing, appropriation and intertextuality are particularly interesting concepts to explore given the recent acceleration in art and music produced using Machine Learning. Every network which is used to create art or music functions only because it is trained on a dataset of pre-existing work. Some of these datasets may be relatively modest – Dadabots’ Relentless
Christine Mcleavey Princeton University Worcester College Stanford University Dadabot Relentless Doppelg Stable Diffusion
Source: ox.ac.uk

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