{"id":611,"date":"2025-02-22T16:17:55","date_gmt":"2025-02-22T21:17:55","guid":{"rendered":"https:\/\/websites.emerson.edu\/data-fluencies\/?page_id=611"},"modified":"2025-04-07T17:12:13","modified_gmt":"2025-04-07T21:12:13","slug":"unmaking-ai-worlds","status":"publish","type":"page","link":"https:\/\/websites.emerson.edu\/data-fluencies\/unmaking-ai-worlds\/","title":{"rendered":"(Un)Making AI Worlds"},"content":{"rendered":"\n

The exhibition invites audiences to explore artworks emerging from the Data Fluencies Theatre Project<\/a> team\u2019s 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.<\/p>\n\n\n\n

The Data Fluencies Theatre Project (2022-2025) is an artistic research initiative that mobilizes theatrical performance\u2019s potential to build data fluencies rooted in embodied experience. Bringing together an interdisciplinary team, the project is developing (Machine) Learning to Be<\/em><\/a>\u2014a 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.<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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<\/p>\n\n\n\n

Other collaborators: Sydney Skybetter<\/p>\n\n\n\n

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