DiPaola’s research endeavors to build top down Artificial
Intelligence (AI) models of human creativity, empathy and
expression for both use in new forms of computation systems
as well as analysis of how the creative mind works. In doing
so he has interviewed hundreds of artists, writers and
musicians on how they perceive their creative talent and its
originals. Combined with research from neuro-aesthetics and
computer modelling, DiPaola notes that while many creative
individuals report that they believe new insights as coming
into them from an external source during creative flow, that
evidence point to these new creative ideas and interpretations
often more likely have internal roots from the individual’s,
mid and long term past experiences and processes. DiPaola
attempts to model this and other human creativity processes
in computational form often as AI systems such as deep
learning, reinforcement learning and evolution programming.
Two efforts underway in DiPaola’s research lab are mapping
out the creative process of a fine art portrait painter using 5
hierarchical AI systems, as well as modelling an empathetic
embodied character agent who can understand emotions from
those she talks with and construct creative narrative or quote
like responses.
