  How can researchers from the creative ML/AI community and sociology of
culture engage in fruitful collaboration? How do researchers from both fields
think (differently) about creativity and the production of creative work? While
the ML community considers creativity as a matter of technical expertise and
acumen, social scientists have emphasized the role of embeddedness in cultural
production. This perspective aims to bridge both disciplines and proposes a
conceptual and methodological toolkit for collaboration. We provide a
systematic review of recent research in both fields and offer three
perspectives around which to structure interdisciplinary research on cultural
production: people, processes, and products. We thereby provide necessary
grounding work to support multidisciplinary researchers to navigate conceptual
and methodological hurdles in their collaboration. Our research will be of
interest to ML researchers and sociologists interested in creativity that aim
to conduct innovative research by bridging both fields.
