Contribution on »Training the Archive« published in new e-book

In April 2021, Dominik Bönisch gave a lecture on »Training the Archive« at the international conference »Art, Museums and Digital Cultures.« The conference proceedings have now been published as an open-source e-book. The text »Suggestions for a Curator’s Machine: A Collaborative Approach to the Use of Artificial Intelligence in Art Museums« can be found on pages 136-148.

Machine Learning has become increasingly important for the processing and visualisation of digitised collections in art museums. With the use of artificial intelligence, various models can be applied in order to take a new look at digital objects and gain fresh insights from the available information. The research project Training the Archive seeks to use computational methods to reveal connections and links between artworks, thus supporting curators in their practice. Since curatorial research is closely entangled with technologies such as search engines, collaborative approaches based on a human-machine interaction are becoming increasingly common. In this paper, different possibilities are discussed for establishing a similar form of collaboration between curators and Machine Learning models. Three suggestions are made, ranging from current prototypes to future possibilities. In each case, the aim is to translate expert knowledge into a meaningful tool – introduced as the Curator’s Machine.

Click here for the publication of the paper.
DOI: 10.34619/hwfg-s9yy

»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.

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