The exhibition invites audiences to explore artworks emerging from the Data Fluencies Theatre Project team’s critical and creative interrogations of artificial intelligence. Visitors will encounter video installations, interactive digital experiences, live performances, and sound compositions that examine our complex relationships with AI through embodied artistic practices.
The Data Fluencies Theatre Project (2022-2025) is an artistic research initiative that mobilizes theatrical performance’s potential to build data fluencies rooted in embodied experience. Bringing together an interdisciplinary team, the project is developing (Machine) Learning to Be—a participatory, devised multimedia performance that engages with AI systems. The exhibition features works that form integral parts of this creative process, offering glimpses into the collaborative world-making that shapes the performance.
Collectively, these varied artistic expressions create a reflective space to consider what remains distinctly human in an age of machine learning while seeking to challenge established systems of control and imagine pathways toward more equitable technological futures.
Curated by Ioana Jucan with Tushar Mathew and organized with Leonie Bradbury
Artists featured: David Mesiha, Ioana B. Jucan, Tushar Mathew, Jae Neal, Enongo Lumumba-Kasongo, Yuguang Zhang, Aidan Nelson, Gavan Cheema, Kite
March 17-22, 2025 in the Huret & Spector Gallery at Emerson College
Tuesday, March 18, 2025:
4-4.30pm: Performance Activations
4.30-5.30pm: Artist Panel Discussion with artists Tushar Mathew, Gavan Cheema, Jae Neal, Enongo Lumumba-Kasongo, Ioana Jucan, Yugaung Zhang, Aidan Nelson. Moderated by Leonie Bradbury
5:30-6:30pm: Artist Reception, refreshment will be served.
Additional performances: March 21, 2-2.30pm & March 22, 4-4.30pm
Registration (required only for non-Emerson visitors to be able to access the gallery building)
