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Authors
Advisor(s)
Abstract(s)
The rapid development of cognitive sciences in the context of Artificial Intelligence (AI) and its
supersonic immersion into almost every field, including that of the arts, urges culture studies to
closely review the authorship and framework of such artworks. Supported by the popular culture
representations in science-fiction films and prolific media headlines that aim to capture our
attention among the multitude of information available, AI slips through as an abstract idea. Data,
as the sine qua non of Artificial Intelligence, require us to look into the structure of technological
methods used to produce art and examine the subtle influence of the human factor behind big
digital data. Attempting to escape the non-humanization of the provenance of AI, we will examine
the author’s intention and potential gender or racial discrimination pitfalls. Moreover, by
reviewing the historical evolution of machine-made art as well as some recent examples of
corporate cultural patronage initiatives, this research aims to examine the conditions that frame the
existence and further development of art made with code. Overall, this dissertation aims to
investigate how AI is used in art production and examine whether or not AI impacts on the
authorship of an artwork, and what the nature of that impact is.
Description
Keywords
Artificial intelligence art Computational art Authorship in AI Art market Algorithmic