Interview #5 with Elisa Giardina Papa on »Emotion and 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, Elisa Giardina Papa states:
»So, basically now when the client of The Invisible Boyfriend app is connecting, the app is really connecting not to a bot, but to a globally dispersed workforce of around 600 writers. So this is a kind of a human-machine-assemblage that I’m thinking about, when I address artificial intelligence systems.«

The interview centers around the artistic work by Elisa Giardina Papa, who investigates emotion and data as productive force of Artificial Intelligence. Papa develops a critique of Artificial Intelligence, by focusing from a feminist perspective on the precarious labor conditions, which occur along AI’s production. She records, how emotional labor and care labor get organized through global platforms and interact with click-worker’s services.

Elisa Giardina Papa is an Italian artist whose work investigates gender, sexuality, care, and labor in relation to neoliberal capitalism and the borders of the Global South. Her work has been exhibited and screened at MoMA, Whitney Museum, HMKV, La Biennale di Venezia 2022, Seoul Mediacity Biennale 2018, 16th Quadriennale di Roma, rhizome.org and many more. Giardina Papa is currently pursuing a PhD in film and media studies at the University of California Berkeley.

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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