Training the Archive

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Interview #9 with Anna Ridler »From GANs to Stable Diffusion. On artistic collaboration with generative algorithms«

»Training the Archive« explores the applicability of Artificial Intelligence to art and the curation of art. For this purpose, a series of interviews with artists, curators, and theorists who have made significant contributions to the research field of image production and artificial intelligence in recent years is being produced. The ninth video of the interview with Anna Ridler is online on YouTube (with subtitles).

The interview explores Ridler’s relationship to AI art and her own artistic engagement with generative visual processes. She talks about the materiality of the data sets she creates herself for artistic purposes, which serve as the basis for her own generative AI models.

Anna Ridler is an artist and researcher who is particularly interested in ideas around measurement and quantification and how this relates to the natural world. Ridler holds an MA in Information Experience Design from the Royal College of Art along with fellowships at the Creative Computing Institute at University of the Arts London (UAL).

The interview was conducted by Francis Hunger (HMKV) for »Training the Archive.« To see the other videos in the series, click here or go to the YouTube playlist.

»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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