  Art curatorial practice is characterized by the presentation of an art
collection in a knowledgeable way. Machine processes are characterized by their
capacity to manage and analyze large amounts of data. This paper envisages AI
curation and audience interaction to explore the implications of contemporary
machine learning models for the curatorial world. This project was developed
for the occasion of the 2023 Helsinki Art Biennial, entitled New Directions May
Emerge. We use the Helsinki Art Museum (HAM) collection to re-imagine the city
of Helsinki through the lens of machine perception. We use visual-textual
models to place indoor artworks in public spaces, assigning fictional
coordinates based on similarity scores. We transform the space that each
artwork inhabits in the city by generating synthetic 360 art panoramas. We
guide the generation estimating depth values from 360 panoramas at each artwork
location, and machine-generated prompts of the artworks. The result of this
project is an AI curation that places the artworks in their imagined physical
space, blurring the lines of artwork, context, and machine perception. The work
is virtually presented as a web-based installation on this link
http://newlyformedcity.net/, where users can navigate an alternative version of
the city while exploring and interacting with its cultural heritage at scale.
