Why we need a better Turing test for AI art
Briefly

A. Michael Noll's computer program, designed in 1966, successfully created geometric compositions in the style of Mondrian that fooled 72% of test subjects into believing they were human-made.
Lev Manovich, in 'Artificial Aesthetics,' discusses how Turing tests for art generation need to evolve to keep pace with advancements in AI technologies that produce indistinguishable art.
Read at Big Think
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