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(Un)Making AI Worlds
March 17 @ 12:00 pm – March 22 @ 5:00 pm
Presenting, “(Un)Making AI Worlds”, curated by Ioana Jucan with Tushar Mathew, and Leonie Bradbury. The exhibition invites audiences to explore artworks emerging from the Data Fluencies Theatre Project team’s critical and creative interrogations of artificial intelligence and AI systems.
Blending theatrical conventions, choreographed movement, poetry, and artistic experiments with machine learning, (Machine) Learning to Be is a participatory, devised, hybrid multimedia performance experience that engages with Artificial Intelligence (AI) systems and their societal impacts. The performance features an interactive choreographic interface that aims to engage AI as embodiment technologies and human and AI characters that aim to convey the multifaceted nature of AI, its dangers and possibilities for our communities. Rooted in visions of decolonial AI, (Machine) Learning to Be seeks to challenge established systems of control and envision more equitable futures alongside AI technology.
Featuring artists Ioana B. Jucan, Tushar Matthew, David Mesiha, Aidan Nelson, Jae Neal, Enongo Lumumba-Kasongo, Yuguang Zhang, Gavan Cheema, Kite, the exhibition features the following events, activations and performances at Emerson’s Huret and Spector Gallery
March 18, 2025:
4-6.30pm: Performance Activations and Artist Panel discussion moderated by Dr. Leonie Bradbury, followed by Reception
March 21st, 2025:
2:00 pm: Secret Hyena activation
March 22nd, 2025:
4:00 pm: Secret Hyena activation

The Data Fluencies Theatre Project (2022-2025) is an artistic research project that mobilizes theatrical performance’s potential to build data fluencies grounded in and honoring embodied experience. The project brings together an interdisciplinary team to develop artworks and co-create a participatory, devised, hybrid multimedia performance. Titled (Machine) Learning to Be, the performance engages with AI and algorithmic systems as it seeks to challenge established systems of control and envision more equitable futures alongside AI technology.
