The algorithmic pedestal: A practice-based study of algorithmic and artistic curation

Caterina Moruzzi, Laura Herman

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

This paper delineates the authors’ practice-based findings from The Algorithmic Pedestal exhibit, a practice-based research project examining the impact of algorithmic curation on visual ecology. Instagram, a platform that deploys algorithmic recommendations to select and display artworks, was instructed to choose a set of images from the Metropolitan Museum of Art’s collection to display. Fabienne Hess, a London-based artist, also chose images to display from the same collection. This article reflects on the process of producing an exhibit with curatorial inputs from both a machine and a human. It also shares and describes the selected images for the first time.
Original languageEnglish
Pages (from-to)485–492
JournalLeonardo
DOIs
Publication statusPublished - 5 Aug 2024

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