Training the Archive

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Interview #4 with Matteo Pasquinelli on »Exploring the economic and social roots of AI«

»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 forth video of the interview with Matteo Pasquinelli is online on YouTube (with subtitles).

In the interview, Matteo Pasquinelli states:
»Let’s look at self-driving cars for example: they are indeed almost a mythological object, but they are a good example of AI ambitions because they aim to automate a very complex form of labor that is the labor of the driver.«

The interview functions as an overview about the ideological form, the logical form, the technical form and the social form of artificial intelligence. Pasquinelli describes AI as automation of manual, mental, visual, and organizational labor.

Matteo Pasquinelli a professor in media philosophy at the University of Arts and Design Karlsruhe where he is coordinating the research group “KIM” on Artificial Intelligence and media philosophy. His research focuses on the intersection of cognitive sciences, digital economy, and machine intelligence.

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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