Interview #6 with Gabriel Pereira on »How the image collection ImageNet re-constructs reality«

»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 sixth video of the interview with Gabriel Pereira is online on YouTube (with subtitles).

“How the image collection ImageNet re-constructs reality.” The interview explores historical and functional aspects of the ImageNet image data collection. Pereira investigated this aspect of Visual Computing in collaboration with his researcher and artist collegue Bruno Moreschi, using the collection of the Van Abbe Museum, Eindhoven, as an example.

Pereira is currently a Visiting Fellow at the London School of Economics and Political Science (UK). In his research, Gabriel Pereira investigates data and Algorithm infrastructures, in particular how computer vision algorithms mediate our relationship with the world. His projects have been exhibited at the 33rd São Paulo Art Biennial, the Van Abbemuseum, IDFA DocLab, and Itaú Cultural, among others.

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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