Curatorial A(i)gents is an exhibition program of machine-learning-based experiments with museum collections and data developed by members and affiliates of metaLAB (at) Harvard, a creative research group working in the networked arts and humanities. he term “machine learning” represents a family of systems that use algorithms to find patterns in data inferentially, without explicit instructions. Artists and media makers are experimenting with machine-learning tools to create new kinds of artworks. But roles for machine learning in the art museum are still rare in practice. Presented in the Lightbox Gallery, metaLAB’s projects explore emerging possibilities for machine-learning systems while exploring vital issues at the intersection of technology and culture. Produced in conjunction with the planned 2020 exhibition program, Curatorial A(I)gents, this “prologue” poster was released before the show reached the gallery. Reflecting emergent conversation rather than settled knowledge, this prologue will combine participants’ projects and reflections with critical writing from a range of experts and practitioners. Unfolding from pamphlet to poster, Chelsea Qiu’s ingenious design for the prologue publication features a lively “combinatory” structure that emphasizes dialogue among cross-cutting perspectives.