Marilyn T. and Byron C. Shutz Lecture Series: Gloria Sutton

As a part of the UMKC Shutz Lecture Series, Kemper Museum and UMKC’s Department of English and Media, Art and Design are excited to invite scholar Gloria Sutton to present her ongoing project, Pattern Recognition: Contemporary Art in the Age of Artificial Intelligence.

Drawing on computational regimes of visuality including tracking and surveillance, Pattern Recognition pushes beyond screen-based modalities of spectatorship which have dominated current thinking about digital media within art history, film, and media studies. This talk traces the stealthy intrusion of artificial intelligence in everyday imaging apps that make distinctions between human and computer vision more difficult to discern at a time when representation is now being reconfigured as “datafication.” Aimed at a broad humanities audience, Pattern Recognition connects digitally-born artworks and the mass digitalization of analog artworks to Art History’s own unresolvable conflict with experiencing works of art simultaneously in real life and through reproductive image surrogates including prints, drawings, photographs, models and slides which have made art history dependent on the virtualizing force of pictorial representation from the very inception of the discipline.

Registration required; limited seating available

ABOUT GLORIA SUTTON

Gloria Sutton is Associate Professor of Contemporary Art History at Northeastern University. Her scholarship has been supported by The Andy Warhol Foundation, the Terra Foundation for American Art, and the Getty Research Institute. She has been a scholar-in-residence at Harvard University’s Carpenter Center for the Visual Arts; held curatorial positions at the Museum of Contemporary Art, Los Angeles; served as the inaugural editor of the College Art Association’s Art Journal Open; and was a founding board member of Rhizome.org. She is currently completing Pattern Recognition: Contemporary Art in the Age of Artificial Intelligence, which argues for a “latent space of art history” — mapping how computational models and machine learning reframe the production, reception, and historiography of contemporary art.

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Image: Julia Scher, Delta Alexa, 2018 Alexa virtual assistants, green gel filter, MP3 players, cables Dimensions variable Photo © Simon Vogel

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