Call for Datasets
The Next Biennial Should be Curated by a Machine is an inquiry into the relationship between curating and artificial intelligence, and a possibility of developing an experimental system capable of curating, based on human-machine learning principles.
Unfolding as a series of machine learning experiments, the project is a collaboration between artists UBERMORGEN, digital humanist Leonardo Impett, and curator Joasia Krysa.
The first online experiment will be launched at Liverpool Biennial 2020 and is co-commissioned by Liverpool Biennial and the Whitney Museum of American Art for its online gallery space artport.
The first web-based experiment takes a sketch of the curatorial process for Liverpool Biennial 2020, and interprets it as a technical diagram—a working basis for deriving data sets and subsequent iterative processing by machines. Expanding from this, the experiment aims to ingest data from a broad range of curatorial processes and exhibitions to generate a series of propositions, or versions of the Biennial, as a prototype for an intelligent curatorial system.
We are now inviting contributions of historical and contemporary exhibitions and biennials to be included in the experiment, and ask for submissions of related material such as images, texts, diagrams, scores, files, audio, video, accounting records, legal contracts, and contextual information by curators and art institutions. Data can be transparent, subject-anonymous, or even sender-anonymous.
Please send any expressions of interest or your data to datasets@biennial.ai, or upload them anonymously on data.biennial.ai.
Data submitted will be used for AI training purposes only, and will not be published or made accessible through the project.
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