(Machine) Learning to Be

From 2023 to 2025, I collaborated with a multi-disciplinary group of academics, theatre makers, dancers, poets and creative technologists to devise a series of performative experiences seeking "to challenge established systems of control and envision more equitable futures alongside AI technology." This work included live and hybrid performances, web-based and in-person interactives, workshops and a gallery show across 3 cities in 2 countries and online. Our goal was "to spark a conversation around the possibilities and impacts of AI on the human body and society, using the hybrid performance model to expand access to the conversation for all who wish to engage."

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 interactive interfaces that engage AI as embodiment technologies and human and AI characters that convey the multifaceted nature of AI, its dangers and possibilities for our communities.

Data Fluencies Theatre Project

As part of this project, I built several web-based interactive pieces, including the Binary Oracle, an