By Ana Larsen
As generative Artificial Intelligence (AI) has increasingly integrated into daily life, its role has evolved from being an assistive tool, such as a translation aid, into a service capable of rendering its own creative work. Although it is reliant on using human-made work to train and can be prone to error, generative AI has already proven to be an incredibly efficient and interesting tool across many fields. One example of its successful integration in the art world is the 2016 collaborative artistic project “The Next Rembrandt.”[1]
A collaboration between art historians, data scientists, developers, engineers, and generative AI, The Next Rembrandt project analyzed Rembrandt’s existing works in order to render an entirely new painting in his style.[2]
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