A Game of Dice: Machine Learning and the Question Concerning Art
It addresses philosophical and practical concerns for artists and theorists regarding AI's role in creativity, but is incremental as it reviews existing ideas without new empirical results.
The paper examines the practical and philosophical issues of using machine learning in art, arguing that AI Art's novelty stems primarily from manifold approximation, which fundamentally changes how the movement is perceived.
We review some practical and philosophical questions raised by the use of machine learning in creative practice. Beyond the obvious problems regarding plagiarism and authorship, we argue that the novelty in AI Art relies mostly on a narrow machine learning contribution : manifold approximation. Nevertheless, this contribution creates a radical shift in the way we have to consider this movement. Is this omnipotent tool a blessing or a curse for the artists?